
<span id="release"></span><h1><span class="yiyi-st" id="yiyi-197">Release Notes</span></h1>
        <blockquote>
        <p>原文：<a href="http://pandas.pydata.org/pandas-docs/stable/release.html">http://pandas.pydata.org/pandas-docs/stable/release.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<p><span class="yiyi-st" id="yiyi-198">这是每个版本之间对pandas的更改列表。</span><span class="yiyi-st" id="yiyi-199">有关完整详细信息，请参阅提交日志<a class="reference external" href="http://github.com/pandas-dev/pandas">http://github.com/pandas-dev/pandas</a></span></p>
<p><span class="yiyi-st" id="yiyi-200"><strong>什么是</strong></span></p>
<p><span class="yiyi-st" id="yiyi-201">pandas是一个Python包，提供快速，灵活和表达性的数据结构，旨在使用“关系”或“标记”数据，既方便又直观。</span><span class="yiyi-st" id="yiyi-202">它旨在成为在Python中进行实际，真实世界数据分析的基本高级构建块。</span><span class="yiyi-st" id="yiyi-203">此外，它具有更广泛的目标，成为任何语言中可用的最强大和灵活的开源数据分析/操作工具。</span></p>
<p><span class="yiyi-st" id="yiyi-204"><strong>在哪里取得</strong></span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-205">源代码：<a class="reference external" href="http://github.com/pandas-dev/pandas">http://github.com/pandas-dev/pandas</a></span></li>
<li><span class="yiyi-st" id="yiyi-206">PyPI上的二进制安装程序：<a class="reference external" href="http://pypi.python.org/pypi/pandas">http://pypi.python.org/pypi/pandas</a></span></li>
<li><span class="yiyi-st" id="yiyi-207">文档：<a class="reference external" href="http://pandas.pydata.org">http://pandas.pydata.org</a></span></li>
</ul>
<div class="section" id="pandas-0-19-2">
<h2><span class="yiyi-st" id="yiyi-208">pandas 0.19.2</span></h2>
<p><span class="yiyi-st" id="yiyi-209"><strong>发布日期：</strong> 2016年12月24日</span></p>
<p><span class="yiyi-st" id="yiyi-210">这是0.19.x系列中的一个小错误修复版本，包括一些小的回归修复，错误修复和性能改进。</span></p>
<p><span class="yiyi-st" id="yiyi-211">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-212">与Python的兼容性3.6</span></li>
<li><span class="yiyi-st" id="yiyi-213">添加了<a class="reference external" href="https://github.com/pandas-dev/pandas/tree/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf">Pandas备忘单</a>。</span><span class="yiyi-st" id="yiyi-214">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/13202">GH13202</a>）。</span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-215">有关已在0.19.2中修复的所有错误的概述，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0192"><span class="std std-ref">v0.19.2 Whatsnew</span></a>页面。</span></p>
<div class="section" id="thanks">
<h3><span class="yiyi-st" id="yiyi-216">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-217">Ajay Saxena</span></li>
<li><span class="yiyi-st" id="yiyi-218">本&#xB7;坎德尔</span></li>
<li><span class="yiyi-st" id="yiyi-219">克里斯</span></li>
<li><span class="yiyi-st" id="yiyi-220">克里斯&#xB7;哈姆</span></li>
<li><span class="yiyi-st" id="yiyi-221">克里斯托弗&#xB7;Aycock</span></li>
<li><span class="yiyi-st" id="yiyi-222">丹尼尔&#xB7;希梅尔斯坦</span></li>
<li><span class="yiyi-st" id="yiyi-223">Dave Willmer</span></li>
<li><span class="yiyi-st" id="yiyi-224">Dr-Irv</span></li>
<li><span class="yiyi-st" id="yiyi-225">gfyoung</span></li>
<li><span class="yiyi-st" id="yiyi-226">hesham沙巴纳</span></li>
<li><span class="yiyi-st" id="yiyi-227">杰夫凯里</span></li>
<li><span class="yiyi-st" id="yiyi-228">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-229">乔&#xB7;杰夫尼克</span></li>
<li><span class="yiyi-st" id="yiyi-230">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-231">朱利安桑坦德</span></li>
<li><span class="yiyi-st" id="yiyi-232">Kerby Shedden</span></li>
<li><span class="yiyi-st" id="yiyi-233">Keshav Ramaswamy</span></li>
<li><span class="yiyi-st" id="yiyi-234">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-235">Luca Scarabello</span></li>
<li><span class="yiyi-st" id="yiyi-236">马太皮库斯</span></li>
<li><span class="yiyi-st" id="yiyi-237">马特Roeschke</span></li>
<li><span class="yiyi-st" id="yiyi-238">Maximilian Roos</span></li>
<li><span class="yiyi-st" id="yiyi-239">Mykola Golubyev</span></li>
<li><span class="yiyi-st" id="yiyi-240">Nate Yoder</span></li>
<li><span class="yiyi-st" id="yiyi-241">Nicholas Ver Halen</span></li>
<li><span class="yiyi-st" id="yiyi-242">Pawel Kordek</span></li>
<li><span class="yiyi-st" id="yiyi-243">Pietro Battiston</span></li>
<li><span class="yiyi-st" id="yiyi-244">Rodolfo Fernandez</span></li>
<li><span class="yiyi-st" id="yiyi-245">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-246">Tara Adiseshan</span></li>
<li><span class="yiyi-st" id="yiyi-247">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-248">wandersoncferreira</span></li>
<li><span class="yiyi-st" id="yiyi-249">雅罗斯拉夫Halchenko</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-19-1">
<h2><span class="yiyi-st" id="yiyi-250">pandas 0.19.1</span></h2>
<p><span class="yiyi-st" id="yiyi-251"><strong>发布日期：</strong> 2016年11月3日</span></p>
<p><span class="yiyi-st" id="yiyi-252">这是一个从0.19.0的小错误修复版本，并包括一些小的回归修复，错误修复和性能改进。</span></p>
<p><span class="yiyi-st" id="yiyi-253">有关已在0.19.1中修复的所有错误的概述，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0191"><span class="std std-ref">v0.19.1 Whatsnew</span></a>页面。</span></p>
<div class="section" id="id1">
<h3><span class="yiyi-st" id="yiyi-254">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-255">亚当&#xB7;Chainz</span></li>
<li><span class="yiyi-st" id="yiyi-256">Anthonios Partheniou</span></li>
<li><span class="yiyi-st" id="yiyi-257">Arash Rouhani</span></li>
<li><span class="yiyi-st" id="yiyi-258">本&#xB7;坎德尔</span></li>
<li><span class="yiyi-st" id="yiyi-259">Brandon M. Burroughs</span></li>
<li><span class="yiyi-st" id="yiyi-260">克里斯</span></li>
<li><span class="yiyi-st" id="yiyi-261">克里斯-B1</span></li>
<li><span class="yiyi-st" id="yiyi-262">克里斯&#xB7;沃特</span></li>
<li><span class="yiyi-st" id="yiyi-263">大卫Krych</span></li>
<li><span class="yiyi-st" id="yiyi-264">dubourg</span></li>
<li><span class="yiyi-st" id="yiyi-265">gfyoung</span></li>
<li><span class="yiyi-st" id="yiyi-266">Iv&#xE1;nVall&#xE9;sP&#xE9;rez</span></li>
<li><span class="yiyi-st" id="yiyi-267">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-268">乔&#xB7;杰夫尼克</span></li>
<li><span class="yiyi-st" id="yiyi-269">Jon M.Mease</span></li>
<li><span class="yiyi-st" id="yiyi-270">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-271">Josh Owen</span></li>
<li><span class="yiyi-st" id="yiyi-272">Keshav Ramaswamy</span></li>
<li><span class="yiyi-st" id="yiyi-273">拉里&#xB7;任</span></li>
<li><span class="yiyi-st" id="yiyi-274">马特里克</span></li>
<li><span class="yiyi-st" id="yiyi-275">迈克尔&#xB7;费尔特</span></li>
<li><span class="yiyi-st" id="yiyi-276">保罗&#xB7;甘诺诺</span></li>
<li><span class="yiyi-st" id="yiyi-277">Piotr Chromiec</span></li>
<li><span class="yiyi-st" id="yiyi-278">罗伯特&#xB7;布拉德肖</span></li>
<li><span class="yiyi-st" id="yiyi-279">Sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-280">Thiago Serafim</span></li>
<li><span class="yiyi-st" id="yiyi-281">汤姆鸟</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-19-0">
<h2><span class="yiyi-st" id="yiyi-282">pandas 0.19.0</span></h2>
<p><span class="yiyi-st" id="yiyi-283"><strong>发布日期：</strong> 2016年10月2日</span></p>
<p><span class="yiyi-st" id="yiyi-284">这是0.18.1的主要版本，包括多个API更改，几个新功能，增强功能和性能改进以及大量错误修复。</span><span class="yiyi-st" id="yiyi-285">我们建议所有用户升级到此版本。</span></p>
<p><span class="yiyi-st" id="yiyi-286">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-287"><a class="reference internal" href="generated/pandas.merge_asof.html#pandas.merge_asof" title="pandas.merge_asof"><code class="xref py py-func docutils literal"><span class="pre">merge_asof()</span></code></a>用于asof风格的时间序列连接，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0190-enhancements-asof-merge"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-288"><code class="docutils literal"><span class="pre">.rolling()</span></code>现在是时间序列感知，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0190-enhancements-rolling-ts"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-289"><a class="reference internal" href="generated/pandas.read_csv.html#pandas.read_csv" title="pandas.read_csv"><code class="xref py py-func docutils literal"><span class="pre">read_csv()</span></code></a>现在支持解析<code class="docutils literal"><span class="pre">Categorical</span></code>数据，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0190-enhancements-read-csv-categorical"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-290">已添加函数<code class="xref py py-func docutils literal"><span class="pre">union_categorical()</span></code>用于组合分类，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0190-enhancements-union-categoricals"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-291"><code class="docutils literal"><span class="pre">PeriodIndex</span></code>现在有自己的<code class="docutils literal"><span class="pre">period</span></code> dtype，并且更改为与其他<code class="docutils literal"><span class="pre">Index</span></code>类更一致。</span><span class="yiyi-st" id="yiyi-292">请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0190-api-period"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-293">稀疏数据结构增强了对<code class="docutils literal"><span class="pre">int</span></code>和<code class="docutils literal"><span class="pre">bool</span></code> dtypes的支持，参见<a class="reference internal" href="whatsnew.html#whatsnew-0190-sparse"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-294">与<code class="docutils literal"><span class="pre">Series</span></code>的比较操作不再忽略索引，有关API更改的概述，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0190-api-series-ops"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-295">介绍用于实用函数的pandas开发API，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0190-dev-api"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-296">弃用<code class="docutils literal"><span class="pre">Panel4D</span></code>和<code class="docutils literal"><span class="pre">PanelND</span></code>。</span><span class="yiyi-st" id="yiyi-297">我们建议使用<a class="reference external" href="http://xarray.pydata.org/en/stable/">xarray软件包</a>来表示这些类型的n维数据。</span></li>
<li><span class="yiyi-st" id="yiyi-298">Removal of the previously deprecated modules <code class="docutils literal"><span class="pre">pandas.io.data</span></code>, <code class="docutils literal"><span class="pre">pandas.io.wb</span></code>, <code class="docutils literal"><span class="pre">pandas.tools.rplot</span></code>.</span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-299">有关已在0.19.0中修复的所有增强功能和错误的详细列表，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0190"><span class="std std-ref">v0.19.0 Whatsnew</span></a>概述。</span></p>
<div class="section" id="id2">
<h3><span class="yiyi-st" id="yiyi-300">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-301">adneu</span></li>
<li><span class="yiyi-st" id="yiyi-302">阿德里安&#xB7;埃默里</span></li>
<li><span class="yiyi-st" id="yiyi-303">agraboso</span></li>
<li><span class="yiyi-st" id="yiyi-304">亚历克斯Alekseyev</span></li>
<li><span class="yiyi-st" id="yiyi-305">亚历克斯Vig</span></li>
<li><span class="yiyi-st" id="yiyi-306">艾伦&#xB7;里德尔</span></li>
<li><span class="yiyi-st" id="yiyi-307">Amol</span></li>
<li><span class="yiyi-st" id="yiyi-308">Amol Agrawal</span></li>
<li><span class="yiyi-st" id="yiyi-309">Andy R. Terrel</span></li>
<li><span class="yiyi-st" id="yiyi-310">Anthonios Partheniou</span></li>
<li><span class="yiyi-st" id="yiyi-311">babakkeyvani</span></li>
<li><span class="yiyi-st" id="yiyi-312">本&#xB7;坎德尔</span></li>
<li><span class="yiyi-st" id="yiyi-313">鲍勃&#xB7;巴克斯利</span></li>
<li><span class="yiyi-st" id="yiyi-314">Brett Rosen</span></li>
<li><span class="yiyi-st" id="yiyi-315">c123w</span></li>
<li><span class="yiyi-st" id="yiyi-316">Camilo Cota</span></li>
<li><span class="yiyi-st" id="yiyi-317">克里斯</span></li>
<li><span class="yiyi-st" id="yiyi-318">克里斯-B1</span></li>
<li><span class="yiyi-st" id="yiyi-319">Chris Grinolds</span></li>
<li><span class="yiyi-st" id="yiyi-320">克里斯蒂安&#xB7;哈东</span></li>
<li><span class="yiyi-st" id="yiyi-321">克里斯托弗&#xB7;Aycock</span></li>
<li><span class="yiyi-st" id="yiyi-322">克里斯&#xB7;沃特</span></li>
<li><span class="yiyi-st" id="yiyi-323">cmazzullo</span></li>
<li><span class="yiyi-st" id="yiyi-324">conquistador1492</span></li>
<li><span class="yiyi-st" id="yiyi-325">cr3</span></li>
<li><span class="yiyi-st" id="yiyi-326">丹尼尔Siladji</span></li>
<li><span class="yiyi-st" id="yiyi-327">道格拉斯&#xB7;麦克尼尔</span></li>
<li><span class="yiyi-st" id="yiyi-328">德鲁里Lupton</span></li>
<li><span class="yiyi-st" id="yiyi-329">dsm054</span></li>
<li><span class="yiyi-st" id="yiyi-330">Eduardo Blancas Reyes</span></li>
<li><span class="yiyi-st" id="yiyi-331">艾略特&#xB7;马斯登</span></li>
<li><span class="yiyi-st" id="yiyi-332">埃文&#xB7;赖特</span></li>
<li><span class="yiyi-st" id="yiyi-333">Felix Marczinowski</span></li>
<li><span class="yiyi-st" id="yiyi-334">弗朗西斯T. O&apos;Donovan</span></li>
<li><span class="yiyi-st" id="yiyi-335">G&#xE1;borLipt&#xE1;k</span></li>
<li><span class="yiyi-st" id="yiyi-336">Geraint鸭子</span></li>
<li><span class="yiyi-st" id="yiyi-337">gfyoung</span></li>
<li><span class="yiyi-st" id="yiyi-338">贾科莫Ferroni</span></li>
<li><span class="yiyi-st" id="yiyi-339">Grant Roch</span></li>
<li><span class="yiyi-st" id="yiyi-340">Haleemur阿里</span></li>
<li><span class="yiyi-st" id="yiyi-341">harshul1610</span></li>
<li><span class="yiyi-st" id="yiyi-342">Hassan Shamim</span></li>
<li><span class="yiyi-st" id="yiyi-343">iamsimha</span></li>
<li><span class="yiyi-st" id="yiyi-344">Iulius Curt</span></li>
<li><span class="yiyi-st" id="yiyi-345">伊万&#xB7;纳扎罗夫</span></li>
<li><span class="yiyi-st" id="yiyi-346">jackieleng</span></li>
<li><span class="yiyi-st" id="yiyi-347">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-348">杰弗里&#xB7;杰拉德</span></li>
<li><span class="yiyi-st" id="yiyi-349">Jenn Olsen</span></li>
<li><span class="yiyi-st" id="yiyi-350">吉姆&#xB7;克里斯特</span></li>
<li><span class="yiyi-st" id="yiyi-351">乔&#xB7;杰夫尼克</span></li>
<li><span class="yiyi-st" id="yiyi-352">约翰&#xB7;埃文斯</span></li>
<li><span class="yiyi-st" id="yiyi-353">约翰&#xB7;弗里曼</span></li>
<li><span class="yiyi-st" id="yiyi-354">约翰Liekezer</span></li>
<li><span class="yiyi-st" id="yiyi-355">约翰尼&#xB7;吉尔</span></li>
<li><span class="yiyi-st" id="yiyi-356">约翰&#xB7;奥布莱恩</span></li>
<li><span class="yiyi-st" id="yiyi-357">约翰&#xB7;兹温克</span></li>
<li><span class="yiyi-st" id="yiyi-358">约旦Erenrich</span></li>
<li><span class="yiyi-st" id="yiyi-359">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-360">乔希Howes</span></li>
<li><span class="yiyi-st" id="yiyi-361">Jozef Brandys</span></li>
<li><span class="yiyi-st" id="yiyi-362">Kamil Sindi</span></li>
<li><span class="yiyi-st" id="yiyi-363">Ka Wo Chen</span></li>
<li><span class="yiyi-st" id="yiyi-364">Kerby Shedden</span></li>
<li><span class="yiyi-st" id="yiyi-365">Kernc</span></li>
<li><span class="yiyi-st" id="yiyi-366">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-367">Matthieu Brucher</span></li>
<li><span class="yiyi-st" id="yiyi-368">Maximilian Roos</span></li>
<li><span class="yiyi-st" id="yiyi-369">迈克尔&#xB7;舍雷尔</span></li>
<li><span class="yiyi-st" id="yiyi-370">麦克&#xB7;格雷厄姆</span></li>
<li><span class="yiyi-st" id="yiyi-371">Mortada Mehyar</span></li>
<li><span class="yiyi-st" id="yiyi-372">mpuels</span></li>
<li><span class="yiyi-st" id="yiyi-373">Muhammad Haseeb Tariq</span></li>
<li><span class="yiyi-st" id="yiyi-374">Nate乔治</span></li>
<li><span class="yiyi-st" id="yiyi-375">尼尔&#xB7;帕利</span></li>
<li><span class="yiyi-st" id="yiyi-376">Nicolas Bonnotte</span></li>
<li><span class="yiyi-st" id="yiyi-377">OXPHOS</span></li>
<li><span class="yiyi-st" id="yiyi-378">潘登/佐拉</span></li>
<li><span class="yiyi-st" id="yiyi-379">保罗</span></li>
<li><span class="yiyi-st" id="yiyi-380">Pauli Virtanen</span></li>
<li><span class="yiyi-st" id="yiyi-381">Paul Mestemaker</span></li>
<li><span class="yiyi-st" id="yiyi-382">Pawel Kordek</span></li>
<li><span class="yiyi-st" id="yiyi-383">Pietro Battiston</span></li>
<li><span class="yiyi-st" id="yiyi-384">pijucha</span></li>
<li><span class="yiyi-st" id="yiyi-385">Piotr Jucha</span></li>
<li><span class="yiyi-st" id="yiyi-386">priyankjain</span></li>
<li><span class="yiyi-st" id="yiyi-387">Ravi Kumar Nimmi</span></li>
<li><span class="yiyi-st" id="yiyi-388">罗伯特&#xB7;吉塞克</span></li>
<li><span class="yiyi-st" id="yiyi-389">罗伯特&#xB7;凯恩</span></li>
<li><span class="yiyi-st" id="yiyi-390">罗杰&#xB7;托马斯</span></li>
<li><span class="yiyi-st" id="yiyi-391">Roy Keyes</span></li>
<li><span class="yiyi-st" id="yiyi-392">罗素&#xB7;史密斯</span></li>
<li><span class="yiyi-st" id="yiyi-393">Sahil Dua</span></li>
<li><span class="yiyi-st" id="yiyi-394">Sanjiv Lobo</span></li>
<li><span class="yiyi-st" id="yiyi-395">Sa&#x161;oStanovnik</span></li>
<li><span class="yiyi-st" id="yiyi-396">肖恩海德</span></li>
<li><span class="yiyi-st" id="yiyi-397">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-398">Sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-399">斯蒂芬Kappel</span></li>
<li><span class="yiyi-st" id="yiyi-400">史蒂夫崔</span></li>
<li><span class="yiyi-st" id="yiyi-401">斯图尔特亨德森</span></li>
<li><span class="yiyi-st" id="yiyi-402">Sudarshan Konge</span></li>
<li><span class="yiyi-st" id="yiyi-403">托马斯&#xB7;卡斯韦尔</span></li>
<li><span class="yiyi-st" id="yiyi-404">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-405">汤姆鸟</span></li>
<li><span class="yiyi-st" id="yiyi-406">Uwe Hoffmann</span></li>
<li><span class="yiyi-st" id="yiyi-407">wcwagner</span></li>
<li><span class="yiyi-st" id="yiyi-408">WillAyd</span></li>
<li><span class="yiyi-st" id="yiyi-409">张翔</span></li>
<li><span class="yiyi-st" id="yiyi-410">亚渡南</span></li>
<li><span class="yiyi-st" id="yiyi-411">雅罗斯拉夫Halchenko</span></li>
<li><span class="yiyi-st" id="yiyi-412">YG-Riku</span></li>
<li><span class="yiyi-st" id="yiyi-413">Yuichiro Kaneko</span></li>
<li><span class="yiyi-st" id="yiyi-414">尤克</span></li>
<li><span class="yiyi-st" id="yiyi-415">张金杰</span></li>
<li><span class="yiyi-st" id="yiyi-416">znmean</span></li>
<li><span class="yiyi-st" id="yiyi-417">颜发才</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-18-1">
<h2><span class="yiyi-st" id="yiyi-418">pandas 0.18.1</span></h2>
<p><span class="yiyi-st" id="yiyi-419"><strong>发布日期：</strong>（2016年5月3日）</span></p>
<p><span class="yiyi-st" id="yiyi-420">这是一个从0.18.0的小版本，包括大量的错误修复以及几个新的功能，增强和性能改进。</span></p>
<p><span class="yiyi-st" id="yiyi-421">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-422"><code class="docutils literal"><span class="pre">.groupby(...)</span></code> has been enhanced to provide convenient syntax when working with <code class="docutils literal"><span class="pre">.rolling(..)</span></code>, <code class="docutils literal"><span class="pre">.expanding(..)</span></code> and <code class="docutils literal"><span class="pre">.resample(..)</span></code> per group, see <a class="reference internal" href="whatsnew.html#whatsnew-0181-deferred-ops"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-423"><code class="docutils literal"><span class="pre">pd.to_datetime()</span></code>已获得从<code class="docutils literal"><span class="pre">DataFrame</span></code>汇编日期的能力，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0181-enhancements-assembling"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-424">方法链接改进，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0181-enhancements-method-chain"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-425">自定义营业时间偏移量，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0181-enhancements-custombusinesshour"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-426">处理<code class="docutils literal"><span class="pre">sparse</span></code>的许多错误修复，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0181-sparse"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-427">用<a class="reference external" href="https://twitter.com/TomAugspurger">@TomAugsburger</a>提供的现代大熊猫的功能展开<a class="reference internal" href="tutorials.html#tutorial-modern"><span class="std std-ref">Tutorials section</span></a>。</span><span class="yiyi-st" id="yiyi-428">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/13045">GH13045</a>）。</span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-429">有关已在0.18.1中修复的所有增强功能和错误的详细列表，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0181"><span class="std std-ref">v0.18.1 Whatsnew</span></a>概述。</span></p>
<div class="section" id="id3">
<h3><span class="yiyi-st" id="yiyi-430">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-431">安德鲁&#xB7;菲奥雷 - 加特兰</span></li>
<li><span class="yiyi-st" id="yiyi-432">Bastiaan</span></li>
<li><span class="yiyi-st" id="yiyi-433">Beno&#xEE;tVinot</span></li>
<li><span class="yiyi-st" id="yiyi-434">布兰登&#xB7;罗德斯</span></li>
<li><span class="yiyi-st" id="yiyi-435">DaCoEx</span></li>
<li><span class="yiyi-st" id="yiyi-436">Drew Fustin</span></li>
<li><span class="yiyi-st" id="yiyi-437">Ernesto Freitas</span></li>
<li><span class="yiyi-st" id="yiyi-438">Filip Ter</span></li>
<li><span class="yiyi-st" id="yiyi-439">Gregory Livschitz</span></li>
<li><span class="yiyi-st" id="yiyi-440">G&#xE1;borLipt&#xE1;k</span></li>
<li><span class="yiyi-st" id="yiyi-441">Hassan Kibirige</span></li>
<li><span class="yiyi-st" id="yiyi-442">林叶林</span></li>
<li><span class="yiyi-st" id="yiyi-443">以色列Saeta佩雷斯</span></li>
<li><span class="yiyi-st" id="yiyi-444">贾森Wolosonovich</span></li>
<li><span class="yiyi-st" id="yiyi-445">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-446">乔&#xB7;杰夫尼克</span></li>
<li><span class="yiyi-st" id="yiyi-447">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-448">约书亚Storck</span></li>
<li><span class="yiyi-st" id="yiyi-449">Ka Wo Chen</span></li>
<li><span class="yiyi-st" id="yiyi-450">Kerby Shedden</span></li>
<li><span class="yiyi-st" id="yiyi-451">Kieran O&apos;Mahony</span></li>
<li><span class="yiyi-st" id="yiyi-452">Leif Walsh</span></li>
<li><span class="yiyi-st" id="yiyi-453">Mahmoud Lababidi</span></li>
<li><span class="yiyi-st" id="yiyi-454">刘茂元</span></li>
<li><span class="yiyi-st" id="yiyi-455">马克&#xB7;罗斯</span></li>
<li><span class="yiyi-st" id="yiyi-456">马特&#xB7;威特曼</span></li>
<li><span class="yiyi-st" id="yiyi-457">MaxU</span></li>
<li><span class="yiyi-st" id="yiyi-458">Maximilian Roos</span></li>
<li><span class="yiyi-st" id="yiyi-459">迈克尔Droettboom</span></li>
<li><span class="yiyi-st" id="yiyi-460">尼克Eubank</span></li>
<li><span class="yiyi-st" id="yiyi-461">Nicolas Bonnotte</span></li>
<li><span class="yiyi-st" id="yiyi-462">OXPHOS</span></li>
<li><span class="yiyi-st" id="yiyi-463">Pauli Virtanen</span></li>
<li><span class="yiyi-st" id="yiyi-464">彼得&#xB7;沃勒</span></li>
<li><span class="yiyi-st" id="yiyi-465">Pietro Battiston</span></li>
<li><span class="yiyi-st" id="yiyi-466">Prabhjot Singh</span></li>
<li><span class="yiyi-st" id="yiyi-467">罗宾威尔逊</span></li>
<li><span class="yiyi-st" id="yiyi-468">罗杰&#xB7;托马斯</span></li>
<li><span class="yiyi-st" id="yiyi-469">塞巴斯蒂安银行</span></li>
<li><span class="yiyi-st" id="yiyi-470">Stephen Hoover</span></li>
<li><span class="yiyi-st" id="yiyi-471">Tim Hopper</span></li>
<li><span class="yiyi-st" id="yiyi-472">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-473">王爱勇</span></li>
<li><span class="yiyi-st" id="yiyi-474">Wes Turner</span></li>
<li><span class="yiyi-st" id="yiyi-475">Winand</span></li>
<li><span class="yiyi-st" id="yiyi-476">Xbar</span></li>
<li><span class="yiyi-st" id="yiyi-477">严平</span></li>
<li><span class="yiyi-st" id="yiyi-478">adneu</span></li>
<li><span class="yiyi-st" id="yiyi-479">ajenkins-cargometrics</span></li>
<li><span class="yiyi-st" id="yiyi-480">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-481">chinskiy</span></li>
<li><span class="yiyi-st" id="yiyi-482">gfyoung</span></li>
<li><span class="yiyi-st" id="yiyi-483">jeps-journal</span></li>
<li><span class="yiyi-st" id="yiyi-484">jonaslb</span></li>
<li><span class="yiyi-st" id="yiyi-485">kotrfa</span></li>
<li><span class="yiyi-st" id="yiyi-486">nileracecrew</span></li>
<li><span class="yiyi-st" id="yiyi-487">onesandzeroes</span></li>
<li><span class="yiyi-st" id="yiyi-488">rs2</span></li>
<li><span class="yiyi-st" id="yiyi-489">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-490">tsdlovell</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-18-0">
<h2><span class="yiyi-st" id="yiyi-491">pandas 0.18.0</span></h2>
<p><span class="yiyi-st" id="yiyi-492"><strong>发布日期：</strong>（2016年3月13日）</span></p>
<p><span class="yiyi-st" id="yiyi-493">这是从0.17.1的主要版本，包括少量的API更改，几个新功能，增强功能和性能改进以及大量的错误修复。</span><span class="yiyi-st" id="yiyi-494">我们建议所有用户升级到此版本。</span></p>
<p><span class="yiyi-st" id="yiyi-495">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-496">移动和扩展窗口函数现在是Series和DataFrame上的方法，类似于<code class="docutils literal"><span class="pre">.groupby</span></code>，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0180-enhancements-moments"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-497">添加对<code class="docutils literal"><span class="pre">RangeIndex</span></code>的支持，作为<code class="docutils literal"><span class="pre">Int64Index</span></code>的特殊形式，以节省内存，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0180-enhancements-rangeindex"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-498">API中断更改为<code class="docutils literal"><span class="pre">.resample</span></code>方法，使其更多<code class="docutils literal"><span class="pre">.groupby</span></code>，例如，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0180-breaking-resample"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-499">删除对浮动位置索引的支持，自0.14.0以来已弃用。</span><span class="yiyi-st" id="yiyi-500">现在会产生<code class="docutils literal"><span class="pre">TypeError</span></code>，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0180-float-indexers"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-501">为了与<a class="reference external" href="http://xarray.pydata.org/en/stable/">xarray软件包</a>兼容，已添加<code class="docutils literal"><span class="pre">.to_xarray()</span></code>函数，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0180-enhancements-xarray"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-502"><code class="docutils literal"><span class="pre">read_sas</span></code>函数已增强以读取<code class="docutils literal"><span class="pre">sas7bdat</span></code>文件，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0180-enhancements-sas"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-503">添加<a class="reference internal" href="whatsnew.html#whatsnew-0180-enhancements-extract"><span class="std std-ref">.str.extractall() method</span></a>和API更改为<a class="reference internal" href="whatsnew.html#whatsnew-0180-enhancements-extract"><span class="std std-ref">.str.extract() method</span></a>和<a class="reference internal" href="whatsnew.html#whatsnew-0180-enhancements-strcat"><span class="std std-ref">.str.cat() method</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-504"><code class="docutils literal"><span class="pre">pd.test()</span></code>顶级鼻梁测试跑步机可用（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4327">GH4327</a>）。</span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-505">有关已在0.18.0中修复的所有增强功能和错误的详细列表，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0180"><span class="std std-ref">v0.18.0 Whatsnew</span></a>概述。</span></p>
<div class="section" id="id4">
<h3><span class="yiyi-st" id="yiyi-506">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-507">ARF</span></li>
<li><span class="yiyi-st" id="yiyi-508">亚历克斯Alekseyev</span></li>
<li><span class="yiyi-st" id="yiyi-509">麦克弗森</span></li>
<li><span class="yiyi-st" id="yiyi-510">安德鲁&#xB7;罗森费尔德</span></li>
<li><span class="yiyi-st" id="yiyi-511">Anthonios Partheniou</span></li>
<li><span class="yiyi-st" id="yiyi-512">Anton I. Sipos</span></li>
<li><span class="yiyi-st" id="yiyi-513">本</span></li>
<li><span class="yiyi-st" id="yiyi-514">本北</span></li>
<li><span class="yiyi-st" id="yiyi-515">Bran杨</span></li>
<li><span class="yiyi-st" id="yiyi-516">克里斯</span></li>
<li><span class="yiyi-st" id="yiyi-517">克里斯&#xB7;卡鲁</span></li>
<li><span class="yiyi-st" id="yiyi-518">克里斯托弗&#xB7;Aycock</span></li>
<li><span class="yiyi-st" id="yiyi-519">克里斯托弗&#xB7;斯克林</span></li>
<li><span class="yiyi-st" id="yiyi-520">Cody</span></li>
<li><span class="yiyi-st" id="yiyi-521">大王</span></li>
<li><span class="yiyi-st" id="yiyi-522">丹尼尔&#xB7;格雷迪</span></li>
<li><span class="yiyi-st" id="yiyi-523">Dorozhko安东</span></li>
<li><span class="yiyi-st" id="yiyi-524">Dr-Irv</span></li>
<li><span class="yiyi-st" id="yiyi-525">Erik M. Bray</span></li>
<li><span class="yiyi-st" id="yiyi-526">埃文&#xB7;赖特</span></li>
<li><span class="yiyi-st" id="yiyi-527">弗朗西斯T. O&apos;Donovan</span></li>
<li><span class="yiyi-st" id="yiyi-528">弗兰克&#xB7;克利里</span></li>
<li><span class="yiyi-st" id="yiyi-529">Gianluca Rossi</span></li>
<li><span class="yiyi-st" id="yiyi-530">格雷厄姆&#xB7;杰弗里斯</span></li>
<li><span class="yiyi-st" id="yiyi-531">Guillaume Horel</span></li>
<li><span class="yiyi-st" id="yiyi-532">亨利&#xB7;哈蒙德</span></li>
<li><span class="yiyi-st" id="yiyi-533">Isaac Schwabacher</span></li>
<li><span class="yiyi-st" id="yiyi-534">Jean-Mathieu Deschenes</span></li>
<li><span class="yiyi-st" id="yiyi-535">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-536">乔&#xB7;杰夫尼克</span></li>
<li><span class="yiyi-st" id="yiyi-537">约翰&#xB7;弗里曼</span></li>
<li><span class="yiyi-st" id="yiyi-538">约翰&#xB7;弗里林</span></li>
<li><span class="yiyi-st" id="yiyi-539">乔纳斯&#xB7;霍尔施</span></li>
<li><span class="yiyi-st" id="yiyi-540">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-541">Joris Vankerschaver</span></li>
<li><span class="yiyi-st" id="yiyi-542">Justin Lecher</span></li>
<li><span class="yiyi-st" id="yiyi-543">林小姐</span></li>
<li><span class="yiyi-st" id="yiyi-544">Ka Wo Chen</span></li>
<li><span class="yiyi-st" id="yiyi-545">张凯明</span></li>
<li><span class="yiyi-st" id="yiyi-546">Kerby Shedden</span></li>
<li><span class="yiyi-st" id="yiyi-547">凯尔</span></li>
<li><span class="yiyi-st" id="yiyi-548">Marco Farrugia</span></li>
<li><span class="yiyi-st" id="yiyi-549">MasonGallo</span></li>
<li><span class="yiyi-st" id="yiyi-550">MattRijk</span></li>
<li><span class="yiyi-st" id="yiyi-551">马修&#xB7;卢里</span></li>
<li><span class="yiyi-st" id="yiyi-552">Maximilian Roos</span></li>
<li><span class="yiyi-st" id="yiyi-553">Mayank Asthana</span></li>
<li><span class="yiyi-st" id="yiyi-554">Mortada Mehyar</span></li>
<li><span class="yiyi-st" id="yiyi-555">Moussa Taifi</span></li>
<li><span class="yiyi-st" id="yiyi-556">Navreet Gill</span></li>
<li><span class="yiyi-st" id="yiyi-557">Nicolas Bonnotte</span></li>
<li><span class="yiyi-st" id="yiyi-558">保罗&#xB7;赖纳斯</span></li>
<li><span class="yiyi-st" id="yiyi-559">菲利普&#xB7;古拉</span></li>
<li><span class="yiyi-st" id="yiyi-560">Pietro Battiston</span></li>
<li><span class="yiyi-st" id="yiyi-561">RahulHP</span></li>
<li><span class="yiyi-st" id="yiyi-562">Randy Carnevale</span></li>
<li><span class="yiyi-st" id="yiyi-563">Rinoc约翰逊</span></li>
<li><span class="yiyi-st" id="yiyi-564">Rishipuri</span></li>
<li><span class="yiyi-st" id="yiyi-565">Sangmin公园</span></li>
<li><span class="yiyi-st" id="yiyi-566">Scott E Lasley</span></li>
<li><span class="yiyi-st" id="yiyi-567">Sereger13</span></li>
<li><span class="yiyi-st" id="yiyi-568">王香农</span></li>
<li><span class="yiyi-st" id="yiyi-569">船长海鸟</span></li>
<li><span class="yiyi-st" id="yiyi-570">Thierry Moisan</span></li>
<li><span class="yiyi-st" id="yiyi-571">托马斯&#xB7;卡斯韦尔</span></li>
<li><span class="yiyi-st" id="yiyi-572">Toby Dylan Hocking</span></li>
<li><span class="yiyi-st" id="yiyi-573">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-574">Travis</span></li>
<li><span class="yiyi-st" id="yiyi-575">Trent Hauck</span></li>
<li><span class="yiyi-st" id="yiyi-576">Tux1</span></li>
<li><span class="yiyi-st" id="yiyi-577">瓦伦</span></li>
<li><span class="yiyi-st" id="yiyi-578">麦肯尼</span></li>
<li><span class="yiyi-st" id="yiyi-579">将汤普森</span></li>
<li><span class="yiyi-st" id="yiyi-580">Yoav Ram</span></li>
<li><span class="yiyi-st" id="yiyi-581">孔康林</span></li>
<li><span class="yiyi-st" id="yiyi-582">YoshikiV&#xE1;zquezBaeza</span></li>
<li><span class="yiyi-st" id="yiyi-583">Young Joong Kim</span></li>
<li><span class="yiyi-st" id="yiyi-584">金俊贤</span></li>
<li><span class="yiyi-st" id="yiyi-585">Yuval兰格</span></li>
<li><span class="yiyi-st" id="yiyi-586">alex argunov</span></li>
<li><span class="yiyi-st" id="yiyi-587">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-588">boombard</span></li>
<li><span class="yiyi-st" id="yiyi-589">brian-pantano</span></li>
<li><span class="yiyi-st" id="yiyi-590">色度</span></li>
<li><span class="yiyi-st" id="yiyi-591">丹尼尔</span></li>
<li><span class="yiyi-st" id="yiyi-592">dgram0</span></li>
<li><span class="yiyi-st" id="yiyi-593">gfyoung</span></li>
<li><span class="yiyi-st" id="yiyi-594">哈克克</span></li>
<li><span class="yiyi-st" id="yiyi-595">hcontrast</span></li>
<li><span class="yiyi-st" id="yiyi-596">jfoo</span></li>
<li><span class="yiyi-st" id="yiyi-597">kaustuv deolal</span></li>
<li><span class="yiyi-st" id="yiyi-598">1llllll</span></li>
<li><span class="yiyi-st" id="yiyi-599">ranarag</span></li>
<li><span class="yiyi-st" id="yiyi-600">rockg</span></li>
<li><span class="yiyi-st" id="yiyi-601">scls19fr</span></li>
<li><span class="yiyi-st" id="yiyi-602">密封</span></li>
<li><span class="yiyi-st" id="yiyi-603">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-604">srib</span></li>
<li><span class="yiyi-st" id="yiyi-605">surveymedia.ca</span></li>
<li><span class="yiyi-st" id="yiyi-606">tworec</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-17-1">
<h2><span class="yiyi-st" id="yiyi-607">pandas 0.17.1</span></h2>
<p><span class="yiyi-st" id="yiyi-608"><strong>发布日期：</strong>（2015年11月21日）</span></p>
<p><span class="yiyi-st" id="yiyi-609">这是一个从0.17.0的小版本，包括大量的错误修复以及几个新的功能，增强功能和性能改进。</span></p>
<p><span class="yiyi-st" id="yiyi-610">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-611">支持条件HTML格式化，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0171-style"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-612">在csv阅读器和其他操作上释放GIL，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0171-performance"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-613">在<code class="docutils literal"><span class="pre">DataFrame.drop_duplicates</span></code>中从0.16.2回归，导致对整数值的不正确结果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/11376">GH11376</a>）</span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-614">有关已在0.17.1中修复的所有增强功能和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0171"><span class="std std-ref">v0.17.1 Whatsnew</span></a>概述。</span></p>
<div class="section" id="id5">
<h3><span class="yiyi-st" id="yiyi-615">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-616">Aleksandr Drozd</span></li>
<li><span class="yiyi-st" id="yiyi-617">Alex Chase</span></li>
<li><span class="yiyi-st" id="yiyi-618">Anthonios Partheniou</span></li>
<li><span class="yiyi-st" id="yiyi-619">BrenBarn</span></li>
<li><span class="yiyi-st" id="yiyi-620">Brian J. McGuirk</span></li>
<li><span class="yiyi-st" id="yiyi-621">克里斯</span></li>
<li><span class="yiyi-st" id="yiyi-622">克里斯蒂安&#xB7;贝伦特</span></li>
<li><span class="yiyi-st" id="yiyi-623">克里斯蒂安&#xB7;佩雷斯</span></li>
<li><span class="yiyi-st" id="yiyi-624">Cody Piersall</span></li>
<li><span class="yiyi-st" id="yiyi-625">数据和代码专家实验数据代码</span></li>
<li><span class="yiyi-st" id="yiyi-626">DrIrv</span></li>
<li><span class="yiyi-st" id="yiyi-627">埃文&#xB7;赖特</span></li>
<li><span class="yiyi-st" id="yiyi-628">纪尧姆同性恋</span></li>
<li><span class="yiyi-st" id="yiyi-629">哈米德Saljooghinejad</span></li>
<li><span class="yiyi-st" id="yiyi-630">林叶林</span></li>
<li><span class="yiyi-st" id="yiyi-631">杰克&#xB7;范德普拉斯</span></li>
<li><span class="yiyi-st" id="yiyi-632">Jan Schulz</span></li>
<li><span class="yiyi-st" id="yiyi-633">Jean-Mathieu Deschenes</span></li>
<li><span class="yiyi-st" id="yiyi-634">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-635">吉米Callin</span></li>
<li><span class="yiyi-st" id="yiyi-636">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-637">K.-Michael Aye</span></li>
<li><span class="yiyi-st" id="yiyi-638">Ka Wo Chen</span></li>
<li><span class="yiyi-st" id="yiyi-639">Lo&#xEF;cS&#xE9;guin-C</span></li>
<li><span class="yiyi-st" id="yiyi-640">罗一成</span></li>
<li><span class="yiyi-st" id="yiyi-641">MagnusJ&#xF6;ud</span></li>
<li><span class="yiyi-st" id="yiyi-642">曼努埃尔Leonhardt</span></li>
<li><span class="yiyi-st" id="yiyi-643">马修&#xB7;吉尔伯特</span></li>
<li><span class="yiyi-st" id="yiyi-644">Maximilian Roos</span></li>
<li><span class="yiyi-st" id="yiyi-645">迈克尔</span></li>
<li><span class="yiyi-st" id="yiyi-646">尼古拉斯&#xB7;斯塔尔</span></li>
<li><span class="yiyi-st" id="yiyi-647">Nicolas Bonnotte</span></li>
<li><span class="yiyi-st" id="yiyi-648">牧师</span></li>
<li><span class="yiyi-st" id="yiyi-649">Petra Chong</span></li>
<li><span class="yiyi-st" id="yiyi-650">菲尔&#xB7;沙夫</span></li>
<li><span class="yiyi-st" id="yiyi-651">菲利普A</span></li>
<li><span class="yiyi-st" id="yiyi-652">Rob deCarvalho</span></li>
<li><span class="yiyi-st" id="yiyi-653">罗曼Khomenko</span></li>
<li><span class="yiyi-st" id="yiyi-654">R&#xE9;myL&#xE9;one</span></li>
<li><span class="yiyi-st" id="yiyi-655">塞巴斯蒂安银行</span></li>
<li><span class="yiyi-st" id="yiyi-656">Thierry Moisan</span></li>
<li><span class="yiyi-st" id="yiyi-657">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-658">Tux1</span></li>
<li><span class="yiyi-st" id="yiyi-659">瓦伦</span></li>
<li><span class="yiyi-st" id="yiyi-660">维兰德&#xB7;霍夫曼</span></li>
<li><span class="yiyi-st" id="yiyi-661">Winterflower</span></li>
<li><span class="yiyi-st" id="yiyi-662">Yoav Ram</span></li>
<li><span class="yiyi-st" id="yiyi-663">金俊贤</span></li>
<li><span class="yiyi-st" id="yiyi-664">Zeke</span></li>
<li><span class="yiyi-st" id="yiyi-665">ajcr</span></li>
<li><span class="yiyi-st" id="yiyi-666">azuranski</span></li>
<li><span class="yiyi-st" id="yiyi-667">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-668">cel4</span></li>
<li><span class="yiyi-st" id="yiyi-669">emilydolson</span></li>
<li><span class="yiyi-st" id="yiyi-670">hironow</span></li>
<li><span class="yiyi-st" id="yiyi-671">词汇</span></li>
<li><span class="yiyi-st" id="yiyi-672">1llllll</span></li>
<li><span class="yiyi-st" id="yiyi-673">rockg</span></li>
<li><span class="yiyi-st" id="yiyi-674">silentquasar</span></li>
<li><span class="yiyi-st" id="yiyi-675">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-676">taeold</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-17-0">
<h2><span class="yiyi-st" id="yiyi-677">pandas 0.17.0</span></h2>
<p><span class="yiyi-st" id="yiyi-678"><strong>发布日期：</strong>（2015年10月9日）</span></p>
<p><span class="yiyi-st" id="yiyi-679">这是从0.16.2的主要版本，包括少量的API更改，几个新功能，增强功能和性能改进以及大量的错误修复。</span><span class="yiyi-st" id="yiyi-680">我们建议所有用户升级到此版本。</span></p>
<p><span class="yiyi-st" id="yiyi-681">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-682">在一些cython操作上释放全局解释器锁（GIL），请参见<a class="reference internal" href="whatsnew.html#whatsnew-0170-gil"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-683">绘图方法现在可作为<code class="docutils literal"><span class="pre">.plot</span></code>存取器的属性，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0170-plot"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-684">已更新排序API以消除一些长期不一致，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0170-api-breaking-sorting"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-685">支持将时区作为第一类dtype的<code class="docutils literal"><span class="pre">datetime64[ns]</span></code>，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0170-tz"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-686"><code class="docutils literal"><span class="pre">to_datetime</span></code>的默认值现在为<code class="docutils literal"><span class="pre">raise</span></code>，当呈现不可解析的格式时，以前这将返回原始输入。</span><span class="yiyi-st" id="yiyi-687">此外，日期解析函数现在返回一致的结果。</span><span class="yiyi-st" id="yiyi-688">请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0170-api-breaking-to-datetime"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-689">The default for <code class="docutils literal"><span class="pre">dropna</span></code> in <code class="docutils literal"><span class="pre">HDFStore</span></code> has changed to <code class="docutils literal"><span class="pre">False</span></code>, to store by default all rows even if they are all <code class="docutils literal"><span class="pre">NaN</span></code>, see <a class="reference internal" href="whatsnew.html#whatsnew-0170-api-breaking-hdf-dropna"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-690">Datetime存取器（<code class="docutils literal"><span class="pre">dt</span></code>）现在支持<code class="docutils literal"><span class="pre">Series.dt.strftime</span></code>生成datetime-like和<code class="docutils literal"><span class="pre">Series.dt.total_seconds</span></code>的格式化字符串timedelta的每个持续时间（以秒为单位）。</span><span class="yiyi-st" id="yiyi-691">请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0170-strftime"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-692"><code class="docutils literal"><span class="pre">Period</span></code>和<code class="docutils literal"><span class="pre">PeriodIndex</span></code>可以处理类似于<code class="docutils literal"><span class="pre">3D</span></code>的倍频，其对应于3天跨度。</span><span class="yiyi-st" id="yiyi-693">请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0170-periodfreq"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-694">开发安装的pandas版本现在将具有符合<code class="docutils literal"><span class="pre">PEP440</span></code>的版本字符串（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/9518">GH9518</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-695">使用<a class="reference external" href="https://github.com/spacetelescope/asv/">空速速度库</a>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/8316">GH8316</a>）进行基准测试的开发支持</span></li>
<li><span class="yiyi-st" id="yiyi-696">支持读取SAS xport文件，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0170-enhancements-sas-xport"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-697">将SAS与<em>pandas</em>进行比较的文档，请参阅<a class="reference internal" href="comparison_with_sas.html#compare-with-sas"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-698">删除自0.8.0以来弃用的自动TimeSeries广播，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0170-prior-deprecations"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-699">带有纯文本的显示格式可以选择与Unicode东亚宽度对齐，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0170-east-asian-width"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-700">与Python 3.5的兼容性（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/11097">GH11097</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-701">与matplotlib 1.5.0的兼容性（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/11111">GH11111</a>）</span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-702">有关已在0.17.0中修复的所有增强功能和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0170"><span class="std std-ref">v0.17.0 Whatsnew</span></a>概述。</span></p>
<div class="section" id="id6">
<h3><span class="yiyi-st" id="yiyi-703">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-704">亚历克斯罗斯伯格</span></li>
<li><span class="yiyi-st" id="yiyi-705">安德烈&#xB7;贝迪尼</span></li>
<li><span class="yiyi-st" id="yiyi-706">安德鲁&#xB7;罗森费尔德</span></li>
<li><span class="yiyi-st" id="yiyi-707">安迪李</span></li>
<li><span class="yiyi-st" id="yiyi-708">Anthonios Partheniou</span></li>
<li><span class="yiyi-st" id="yiyi-709">Artemy Kolchinsky</span></li>
<li><span class="yiyi-st" id="yiyi-710">伯纳德&#xB7;威尔斯</span></li>
<li><span class="yiyi-st" id="yiyi-711">查理&#xB7;克拉克</span></li>
<li><span class="yiyi-st" id="yiyi-712">克里斯</span></li>
<li><span class="yiyi-st" id="yiyi-713">克里斯&#xB7;威廉</span></li>
<li><span class="yiyi-st" id="yiyi-714">Christoph Gohlke</span></li>
<li><span class="yiyi-st" id="yiyi-715">克里斯托弗&#xB7;威兰</span></li>
<li><span class="yiyi-st" id="yiyi-716">Clark Fitzgerald</span></li>
<li><span class="yiyi-st" id="yiyi-717">Clearfield克里斯托弗</span></li>
<li><span class="yiyi-st" id="yiyi-718">Dan Ringwalt</span></li>
<li><span class="yiyi-st" id="yiyi-719">丹尼尔尼</span></li>
<li><span class="yiyi-st" id="yiyi-720">数据和代码专家实验数据代码</span></li>
<li><span class="yiyi-st" id="yiyi-721">大卫&#xB7;科特雷尔</span></li>
<li><span class="yiyi-st" id="yiyi-722">大卫约翰&#xB7;加涅</span></li>
<li><span class="yiyi-st" id="yiyi-723">大卫凯利</span></li>
<li><span class="yiyi-st" id="yiyi-724">ETF</span></li>
<li><span class="yiyi-st" id="yiyi-725">Eduardo Schettino</span></li>
<li><span class="yiyi-st" id="yiyi-726">Egor</span></li>
<li><span class="yiyi-st" id="yiyi-727">Egor Panfilov</span></li>
<li><span class="yiyi-st" id="yiyi-728">埃文&#xB7;赖特</span></li>
<li><span class="yiyi-st" id="yiyi-729">弗兰克&#xB7;潘特</span></li>
<li><span class="yiyi-st" id="yiyi-730">Gabriel Araujo</span></li>
<li><span class="yiyi-st" id="yiyi-731">Garrett-R</span></li>
<li><span class="yiyi-st" id="yiyi-732">Gianluca Rossi</span></li>
<li><span class="yiyi-st" id="yiyi-733">纪尧姆同性恋</span></li>
<li><span class="yiyi-st" id="yiyi-734">Guillaume Poulin</span></li>
<li><span class="yiyi-st" id="yiyi-735">苛刻的Nisar</span></li>
<li><span class="yiyi-st" id="yiyi-736">伊恩Henriksen</span></li>
<li><span class="yiyi-st" id="yiyi-737">Ian Hoegen</span></li>
<li><span class="yiyi-st" id="yiyi-738">Jaidev Deshpande</span></li>
<li><span class="yiyi-st" id="yiyi-739">鲁道夫</span></li>
<li><span class="yiyi-st" id="yiyi-740">Jan Schulz</span></li>
<li><span class="yiyi-st" id="yiyi-741">Jason Swails</span></li>
<li><span class="yiyi-st" id="yiyi-742">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-743">乔纳斯&#xB7;布尔</span></li>
<li><span class="yiyi-st" id="yiyi-744">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-745">Joris Vankerschaver</span></li>
<li><span class="yiyi-st" id="yiyi-746">Josh Levy-Kramer</span></li>
<li><span class="yiyi-st" id="yiyi-747">Julien Danjou</span></li>
<li><span class="yiyi-st" id="yiyi-748">Ka Wo Chen</span></li>
<li><span class="yiyi-st" id="yiyi-749">Karrie Kehoe</span></li>
<li><span class="yiyi-st" id="yiyi-750">Kelsey Jordahl</span></li>
<li><span class="yiyi-st" id="yiyi-751">Kerby Shedden</span></li>
<li><span class="yiyi-st" id="yiyi-752">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-753">Lars Buitinck</span></li>
<li><span class="yiyi-st" id="yiyi-754">Leif约翰逊</span></li>
<li><span class="yiyi-st" id="yiyi-755">Luis Ortiz</span></li>
<li><span class="yiyi-st" id="yiyi-756">苹果电脑</span></li>
<li><span class="yiyi-st" id="yiyi-757">Matt Gambogi</span></li>
<li><span class="yiyi-st" id="yiyi-758">Matt Savoie</span></li>
<li><span class="yiyi-st" id="yiyi-759">马修&#xB7;吉尔伯特</span></li>
<li><span class="yiyi-st" id="yiyi-760">Maximilian Roos</span></li>
<li><span class="yiyi-st" id="yiyi-761">米开朗基罗&#xB7;达戈斯蒂诺</span></li>
<li><span class="yiyi-st" id="yiyi-762">Mortada Mehyar</span></li>
<li><span class="yiyi-st" id="yiyi-763">尼克Eubank</span></li>
<li><span class="yiyi-st" id="yiyi-764">尼姑巴特拉</span></li>
<li><span class="yiyi-st" id="yiyi-765">Ond&#x159;ej&#x10C;ert&#xED;k</span></li>
<li><span class="yiyi-st" id="yiyi-766">菲利普云</span></li>
<li><span class="yiyi-st" id="yiyi-767">Pratap Vardhan</span></li>
<li><span class="yiyi-st" id="yiyi-768">Rafal Skolasinski</span></li>
<li><span class="yiyi-st" id="yiyi-769">理查德&#xB7;刘易斯</span></li>
<li><span class="yiyi-st" id="yiyi-770">Rinoc约翰逊</span></li>
<li><span class="yiyi-st" id="yiyi-771">Rob Levy</span></li>
<li><span class="yiyi-st" id="yiyi-772">罗伯特&#xB7;吉塞克</span></li>
<li><span class="yiyi-st" id="yiyi-773">Safia Abdalla</span></li>
<li><span class="yiyi-st" id="yiyi-774">塞缪尔&#xB7;丹尼</span></li>
<li><span class="yiyi-st" id="yiyi-775">Saumitra Shahapure</span></li>
<li><span class="yiyi-st" id="yiyi-776">SebastianP&#xF6;lsterl</span></li>
<li><span class="yiyi-st" id="yiyi-777">塞巴斯蒂安&#xB7;鲁伯特</span></li>
<li><span class="yiyi-st" id="yiyi-778">谢泼德，凯文</span></li>
<li><span class="yiyi-st" id="yiyi-779">Sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-780">司徒林</span></li>
<li><span class="yiyi-st" id="yiyi-781">船长海鸟</span></li>
<li><span class="yiyi-st" id="yiyi-782">Spencer Carrucciu</span></li>
<li><span class="yiyi-st" id="yiyi-783">Stephan Hoyer</span></li>
<li><span class="yiyi-st" id="yiyi-784">Stephen Hoover</span></li>
<li><span class="yiyi-st" id="yiyi-785">斯蒂芬&#xB7;帕斯科</span></li>
<li><span class="yiyi-st" id="yiyi-786">Terry Santegoeds</span></li>
<li><span class="yiyi-st" id="yiyi-787">托马斯&#xB7;格兰杰</span></li>
<li><span class="yiyi-st" id="yiyi-788">Tjerk Santegoeds</span></li>
<li><span class="yiyi-st" id="yiyi-789">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-790">文森特戴维斯</span></li>
<li><span class="yiyi-st" id="yiyi-791">Winterflower</span></li>
<li><span class="yiyi-st" id="yiyi-792">雅罗斯拉夫Halchenko</span></li>
<li><span class="yiyi-st" id="yiyi-793">元堂（特里）</span></li>
<li><span class="yiyi-st" id="yiyi-794">agijsberts</span></li>
<li><span class="yiyi-st" id="yiyi-795">ajcr</span></li>
<li><span class="yiyi-st" id="yiyi-796">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-797">cel4</span></li>
<li><span class="yiyi-st" id="yiyi-798">cyrusmaher</span></li>
<li><span class="yiyi-st" id="yiyi-799">davidovitch</span></li>
<li><span class="yiyi-st" id="yiyi-800">ganego</span></li>
<li><span class="yiyi-st" id="yiyi-801">jreback</span></li>
<li><span class="yiyi-st" id="yiyi-802">juricast</span></li>
<li><span class="yiyi-st" id="yiyi-803">larvian</span></li>
<li><span class="yiyi-st" id="yiyi-804">maximilianr</span></li>
<li><span class="yiyi-st" id="yiyi-805">msund</span></li>
<li><span class="yiyi-st" id="yiyi-806">rekcahpassyla</span></li>
<li><span class="yiyi-st" id="yiyi-807">罗伯茨克</span></li>
<li><span class="yiyi-st" id="yiyi-808">scls19fr</span></li>
<li><span class="yiyi-st" id="yiyi-809">塞特山</span></li>
<li><span class="yiyi-st" id="yiyi-810">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-811">弹簧圈</span></li>
<li><span class="yiyi-st" id="yiyi-812">terrytangyuan</span></li>
<li><span class="yiyi-st" id="yiyi-813">tzinckgraf</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-16-2">
<h2><span class="yiyi-st" id="yiyi-814">pandas 0.16.2</span></h2>
<p><span class="yiyi-st" id="yiyi-815"><strong>发布日期：</strong>（2015年6月12日）</span></p>
<p><span class="yiyi-st" id="yiyi-816">这是从0.16.1的一个小版本，包括大量的错误修复以及几个新的功能，增强功能和性能改进。</span></p>
<p><span class="yiyi-st" id="yiyi-817">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-818">新的<code class="docutils literal"><span class="pre">pipe</span></code>方法，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0162-enhancements-pipe"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-819">关于如何使用<a class="reference external" href="http://numba.pydata.org">numba</a>与<em>pandas</em>的文档，请参阅<a class="reference internal" href="enhancingperf.html#enhancingperf-numba"><span class="std std-ref">here</span></a></span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-820">有关已在0.16.2中修复的所有增强功能和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0162"><span class="std std-ref">v0.16.2 Whatsnew</span></a>概述。</span></p>
<div class="section" id="id7">
<h3><span class="yiyi-st" id="yiyi-821">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-822">安德鲁&#xB7;罗森费尔德</span></li>
<li><span class="yiyi-st" id="yiyi-823">Artemy Kolchinsky</span></li>
<li><span class="yiyi-st" id="yiyi-824">伯纳德&#xB7;威尔斯</span></li>
<li><span class="yiyi-st" id="yiyi-825">Christer van der Meeren</span></li>
<li><span class="yiyi-st" id="yiyi-826">克里斯蒂安&#xB7;哈东</span></li>
<li><span class="yiyi-st" id="yiyi-827">康斯坦丁格伦埃文斯</span></li>
<li><span class="yiyi-st" id="yiyi-828">丹尼尔&#xB7;朱利叶斯&#xB7;拉西曼</span></li>
<li><span class="yiyi-st" id="yiyi-829">埃文&#xB7;赖特</span></li>
<li><span class="yiyi-st" id="yiyi-830">Francesco Brundu</span></li>
<li><span class="yiyi-st" id="yiyi-831">Ga&#xEB;tande Menten</span></li>
<li><span class="yiyi-st" id="yiyi-832">杰克&#xB7;范德普拉斯</span></li>
<li><span class="yiyi-st" id="yiyi-833">詹姆斯&#xB7;希伯特</span></li>
<li><span class="yiyi-st" id="yiyi-834">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-835">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-836">Justin Lecher</span></li>
<li><span class="yiyi-st" id="yiyi-837">Ka Wo Chen</span></li>
<li><span class="yiyi-st" id="yiyi-838">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-839">Mortada Mehyar</span></li>
<li><span class="yiyi-st" id="yiyi-840">莫顿&#xB7;福克斯</span></li>
<li><span class="yiyi-st" id="yiyi-841">罗宾威尔逊</span></li>
<li><span class="yiyi-st" id="yiyi-842">托马斯&#xB7;格兰杰</span></li>
<li><span class="yiyi-st" id="yiyi-843">汤姆Ajamian</span></li>
<li><span class="yiyi-st" id="yiyi-844">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-845">YoshikiV&#xE1;zquezBaeza</span></li>
<li><span class="yiyi-st" id="yiyi-846">金俊贤</span></li>
<li><span class="yiyi-st" id="yiyi-847">奥斯汀</span></li>
<li><span class="yiyi-st" id="yiyi-848">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-849">jreback</span></li>
<li><span class="yiyi-st" id="yiyi-850">词汇</span></li>
<li><span class="yiyi-st" id="yiyi-851">rekcahpassyla</span></li>
<li><span class="yiyi-st" id="yiyi-852">scls19fr</span></li>
<li><span class="yiyi-st" id="yiyi-853">sinhrks</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-16-1">
<h2><span class="yiyi-st" id="yiyi-854">pandas 0.16.1</span></h2>
<p><span class="yiyi-st" id="yiyi-855"><strong>发布日期：</strong>（2015年5月11日）</span></p>
<p><span class="yiyi-st" id="yiyi-856">这是一个从0.16.0的小版本，包括大量的错误修复以及几个新的功能，增强和性能改进。</span><span class="yiyi-st" id="yiyi-857">需要少量的API更改来修复现有的错误。</span></p>
<p><span class="yiyi-st" id="yiyi-858">有关已在0.16.1中修复的所有API更改，增强和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0161"><span class="std std-ref">v0.16.1 Whatsnew</span></a>概述。</span></p>
<div class="section" id="id8">
<h3><span class="yiyi-st" id="yiyi-859">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-860">阿方索MHC</span></li>
<li><span class="yiyi-st" id="yiyi-861">安迪海登</span></li>
<li><span class="yiyi-st" id="yiyi-862">Artemy Kolchinsky</span></li>
<li><span class="yiyi-st" id="yiyi-863">克里斯&#xB7;吉尔默</span></li>
<li><span class="yiyi-st" id="yiyi-864">Chris Grinolds</span></li>
<li><span class="yiyi-st" id="yiyi-865">Dan Birken</span></li>
<li><span class="yiyi-st" id="yiyi-866">大卫BROCHART</span></li>
<li><span class="yiyi-st" id="yiyi-867">David Hirschfeld</span></li>
<li><span class="yiyi-st" id="yiyi-868">史蒂芬斯</span></li>
<li><span class="yiyi-st" id="yiyi-869">Dr. Leo</span></li>
<li><span class="yiyi-st" id="yiyi-870">埃文&#xB7;赖特</span></li>
<li><span class="yiyi-st" id="yiyi-871">Frans vanDunn&#xE9;</span></li>
<li><span class="yiyi-st" id="yiyi-872">Hatem Nassrat</span></li>
<li><span class="yiyi-st" id="yiyi-873">Henning Sperr</span></li>
<li><span class="yiyi-st" id="yiyi-874">Hugo Herter</span></li>
<li><span class="yiyi-st" id="yiyi-875">Jan Schulz</span></li>
<li><span class="yiyi-st" id="yiyi-876">杰夫&#xB7;布莱克本</span></li>
<li><span class="yiyi-st" id="yiyi-877">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-878">吉姆&#xB7;克里斯特</span></li>
<li><span class="yiyi-st" id="yiyi-879">乔纳斯&#xB7;阿伯诺</span></li>
<li><span class="yiyi-st" id="yiyi-880">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-881">Kerby Shedden</span></li>
<li><span class="yiyi-st" id="yiyi-882">Leo Razoumov</span></li>
<li><span class="yiyi-st" id="yiyi-883">曼努埃尔&#xB7;瑞尔</span></li>
<li><span class="yiyi-st" id="yiyi-884">Mortada Mehyar</span></li>
<li><span class="yiyi-st" id="yiyi-885">尼克&#xB7;伯恩斯</span></li>
<li><span class="yiyi-st" id="yiyi-886">尼克Eubank</span></li>
<li><span class="yiyi-st" id="yiyi-887">Olivier Grisel</span></li>
<li><span class="yiyi-st" id="yiyi-888">菲利普云</span></li>
<li><span class="yiyi-st" id="yiyi-889">Pietro Battiston</span></li>
<li><span class="yiyi-st" id="yiyi-890">Roy Hyunjin韩</span></li>
<li><span class="yiyi-st" id="yiyi-891">山姆张</span></li>
<li><span class="yiyi-st" id="yiyi-892">斯科特桑德森</span></li>
<li><span class="yiyi-st" id="yiyi-893">Stephan Hoyer</span></li>
<li><span class="yiyi-st" id="yiyi-894">蒂亚戈安塔</span></li>
<li><span class="yiyi-st" id="yiyi-895">汤姆Ajamian</span></li>
<li><span class="yiyi-st" id="yiyi-896">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-897">Tomaz Berisa</span></li>
<li><span class="yiyi-st" id="yiyi-898">Vikram Shirgur</span></li>
<li><span class="yiyi-st" id="yiyi-899">弗拉基米尔Filimonov</span></li>
<li><span class="yiyi-st" id="yiyi-900">威廉&#xB7;霍格曼</span></li>
<li><span class="yiyi-st" id="yiyi-901">Yasin A</span></li>
<li><span class="yiyi-st" id="yiyi-902">金俊贤</span></li>
<li><span class="yiyi-st" id="yiyi-903">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-904">dsm054</span></li>
<li><span class="yiyi-st" id="yiyi-905">floydsoft</span></li>
<li><span class="yiyi-st" id="yiyi-906">飞羊</span></li>
<li><span class="yiyi-st" id="yiyi-907">gfr</span></li>
<li><span class="yiyi-st" id="yiyi-908">jnmclarty</span></li>
<li><span class="yiyi-st" id="yiyi-909">jreback</span></li>
<li><span class="yiyi-st" id="yiyi-910">kangang</span></li>
<li><span class="yiyi-st" id="yiyi-911">卢卡斯</span></li>
<li><span class="yiyi-st" id="yiyi-912">mschmohl</span></li>
<li><span class="yiyi-st" id="yiyi-913">ptype</span></li>
<li><span class="yiyi-st" id="yiyi-914">rockg</span></li>
<li><span class="yiyi-st" id="yiyi-915">scls19fr</span></li>
<li><span class="yiyi-st" id="yiyi-916">sinhrks</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-16-0">
<h2><span class="yiyi-st" id="yiyi-917">pandas 0.16.0</span></h2>
<p><span class="yiyi-st" id="yiyi-918"><strong>发布日期：</strong>（2015年3月22日）</span></p>
<p><span class="yiyi-st" id="yiyi-919">这是0.15.2的主要版本，包括许多API更改，几个新功能，增强功能和性能改进以及大量错误修复。</span></p>
<p><span class="yiyi-st" id="yiyi-920">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-921"><code class="docutils literal"><span class="pre">DataFrame.assign</span></code>方法，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0160-enhancements-assign"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-922"><code class="docutils literal"><span class="pre">Series.to_coo/from_coo</span></code>与<code class="docutils literal"><span class="pre">scipy.sparse</span></code>交互的方法，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0160-enhancements-sparse"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-923">向<code class="docutils literal"><span class="pre">Timedelta</span></code>的向后不兼容更改符合<code class="docutils literal"><span class="pre">.seconds</span></code>属性与<code class="docutils literal"><span class="pre">datetime.timedelta</span></code>，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0160-api-breaking-timedelta"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-924">对<code class="docutils literal"><span class="pre">.loc</span></code>切片API的更改符合<code class="docutils literal"><span class="pre">.ix</span></code>的行为，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0160-api-breaking-indexing"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-925">更改<code class="docutils literal"><span class="pre">Categorical</span></code>构造函数中的排序默认值，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0160-api-breaking-categorical"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-926">不推荐使用<code class="docutils literal"><span class="pre">pandas.tools.rplot</span></code>，<code class="docutils literal"><span class="pre">pandas.sandbox.qtpandas</span></code>和<code class="docutils literal"><span class="pre">pandas.rpy</span></code>模块。</span><span class="yiyi-st" id="yiyi-927">We refer users to external packages like <a class="reference external" href="http://stanford.edu/~mwaskom/software/seaborn/">seaborn</a>, <a class="reference external" href="https://github.com/datalyze-solutions/pandas-qt">pandas-qt</a> and <a class="reference external" href="http://rpy2.bitbucket.org/">rpy2</a> for similar or equivalent functionality, see <a class="reference internal" href="whatsnew.html#whatsnew-0160-deprecations"><span class="std std-ref">here</span></a></span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-928">有关已在0.16.0中修复的所有API更改，增强和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0160"><span class="std std-ref">v0.16.0 Whatsnew</span></a>概述或GitHub上的问题跟踪器。</span></p>
<div class="section" id="id9">
<h3><span class="yiyi-st" id="yiyi-929">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-930">Aaron Toth</span></li>
<li><span class="yiyi-st" id="yiyi-931">Alan Du</span></li>
<li><span class="yiyi-st" id="yiyi-932">Alessandro Amici</span></li>
<li><span class="yiyi-st" id="yiyi-933">Artemy Kolchinsky</span></li>
<li><span class="yiyi-st" id="yiyi-934">Ashwini Chaudhary</span></li>
<li><span class="yiyi-st" id="yiyi-935">本席勒</span></li>
<li><span class="yiyi-st" id="yiyi-936">比尔莱森</span></li>
<li><span class="yiyi-st" id="yiyi-937">布兰德利</span></li>
<li><span class="yiyi-st" id="yiyi-938">周浩</span></li>
<li><span class="yiyi-st" id="yiyi-939">克里斯&#xB7;雷诺兹</span></li>
<li><span class="yiyi-st" id="yiyi-940">克里斯&#xB7;威廉</span></li>
<li><span class="yiyi-st" id="yiyi-941">Christer van der Meeren</span></li>
<li><span class="yiyi-st" id="yiyi-942">大卫&#xB7;科特雷尔</span></li>
<li><span class="yiyi-st" id="yiyi-943">史蒂芬斯</span></li>
<li><span class="yiyi-st" id="yiyi-944">Ehsan Azarnasab</span></li>
<li><span class="yiyi-st" id="yiyi-945">Garrett-R</span></li>
<li><span class="yiyi-st" id="yiyi-946">纪尧姆同性恋</span></li>
<li><span class="yiyi-st" id="yiyi-947">杰克Torcasso</span></li>
<li><span class="yiyi-st" id="yiyi-948">Jason Sexauer</span></li>
<li><span class="yiyi-st" id="yiyi-949">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-950">麦克纳马拉</span></li>
<li><span class="yiyi-st" id="yiyi-951">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-952">Joschka zurJacobsm&#xFC;hlen</span></li>
<li><span class="yiyi-st" id="yiyi-953">Juarez Bochi</span></li>
<li><span class="yiyi-st" id="yiyi-954">Junya林</span></li>
<li><span class="yiyi-st" id="yiyi-955">K.-Michael Aye</span></li>
<li><span class="yiyi-st" id="yiyi-956">Kerby Shedden</span></li>
<li><span class="yiyi-st" id="yiyi-957">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-958">Kieran O&apos;Mahony</span></li>
<li><span class="yiyi-st" id="yiyi-959">Kodi Arfer</span></li>
<li><span class="yiyi-st" id="yiyi-960">马蒂&#xB7;阿拉斯</span></li>
<li><span class="yiyi-st" id="yiyi-961">Min RK</span></li>
<li><span class="yiyi-st" id="yiyi-962">Mortada Mehyar</span></li>
<li><span class="yiyi-st" id="yiyi-963">罗伯特</span></li>
<li><span class="yiyi-st" id="yiyi-964">Scott E Lasley</span></li>
<li><span class="yiyi-st" id="yiyi-965">Scott Lasley</span></li>
<li><span class="yiyi-st" id="yiyi-966">Sergio Pascual</span></li>
<li><span class="yiyi-st" id="yiyi-967">船长海鸟</span></li>
<li><span class="yiyi-st" id="yiyi-968">Stephan Hoyer</span></li>
<li><span class="yiyi-st" id="yiyi-969">托马斯&#xB7;格兰杰</span></li>
<li><span class="yiyi-st" id="yiyi-970">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-971">TomAugspurger</span></li>
<li><span class="yiyi-st" id="yiyi-972">弗拉基米尔Filimonov</span></li>
<li><span class="yiyi-st" id="yiyi-973">Vyomkesh Tripathi</span></li>
<li><span class="yiyi-st" id="yiyi-974">Will Holmgren</span></li>
<li><span class="yiyi-st" id="yiyi-975">杨玉龙</span></li>
<li><span class="yiyi-st" id="yiyi-976">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-977">bertrandhaut</span></li>
<li><span class="yiyi-st" id="yiyi-978">bjonen</span></li>
<li><span class="yiyi-st" id="yiyi-979">cel4</span></li>
<li><span class="yiyi-st" id="yiyi-980">克拉姆</span></li>
<li><span class="yiyi-st" id="yiyi-981">hsperr</span></li>
<li><span class="yiyi-st" id="yiyi-982">ischwabacher</span></li>
<li><span class="yiyi-st" id="yiyi-983">jnmclarty</span></li>
<li><span class="yiyi-st" id="yiyi-984">约瑟姆</span></li>
<li><span class="yiyi-st" id="yiyi-985">jreback</span></li>
<li><span class="yiyi-st" id="yiyi-986">omtinez</span></li>
<li><span class="yiyi-st" id="yiyi-987">罗奇</span></li>
<li><span class="yiyi-st" id="yiyi-988">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-989">unutbu</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-15-2">
<h2><span class="yiyi-st" id="yiyi-990">pandas 0.15.2</span></h2>
<p><span class="yiyi-st" id="yiyi-991"><strong>发布日期：</strong>（2014年12月12日）</span></p>
<p><span class="yiyi-st" id="yiyi-992">这是从0.15.1的次要版本，包括大量的错误修复以及几个新的功能，增强和性能改进。</span><span class="yiyi-st" id="yiyi-993">需要少量的API更改来修复现有的错误。</span></p>
<p><span class="yiyi-st" id="yiyi-994">有关已在0.15.2中修复的所有API更改，增强和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0152"><span class="std std-ref">v0.15.2 Whatsnew</span></a>概述。</span></p>
<div class="section" id="id10">
<h3><span class="yiyi-st" id="yiyi-995">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-996">Aaron Staple</span></li>
<li><span class="yiyi-st" id="yiyi-997">Angelos Evripiotis</span></li>
<li><span class="yiyi-st" id="yiyi-998">Artemy Kolchinsky</span></li>
<li><span class="yiyi-st" id="yiyi-999">Benoit Pointet</span></li>
<li><span class="yiyi-st" id="yiyi-1000">布赖恩&#xB7;雅各布斯基</span></li>
<li><span class="yiyi-st" id="yiyi-1001">Charalampos Papaloizou</span></li>
<li><span class="yiyi-st" id="yiyi-1002">克里斯&#xB7;沃特</span></li>
<li><span class="yiyi-st" id="yiyi-1003">史蒂芬斯</span></li>
<li><span class="yiyi-st" id="yiyi-1004">Fabio Zanini</span></li>
<li><span class="yiyi-st" id="yiyi-1005">Francesc Via</span></li>
<li><span class="yiyi-st" id="yiyi-1006">亨利Kleynhans</span></li>
<li><span class="yiyi-st" id="yiyi-1007">杰克&#xB7;范德普拉斯</span></li>
<li><span class="yiyi-st" id="yiyi-1008">Jan Schulz</span></li>
<li><span class="yiyi-st" id="yiyi-1009">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-1010">杰夫特拉特纳</span></li>
<li><span class="yiyi-st" id="yiyi-1011">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-1012">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-1013">Matt Suggit</span></li>
<li><span class="yiyi-st" id="yiyi-1014">马修&#xB7;布雷特</span></li>
<li><span class="yiyi-st" id="yiyi-1015">菲利普云</span></li>
<li><span class="yiyi-st" id="yiyi-1016">Rupert Thompson</span></li>
<li><span class="yiyi-st" id="yiyi-1017">Scott E Lasley</span></li>
<li><span class="yiyi-st" id="yiyi-1018">Stephan Hoyer</span></li>
<li><span class="yiyi-st" id="yiyi-1019">斯蒂芬&#xB7;西蒙斯</span></li>
<li><span class="yiyi-st" id="yiyi-1020">Sylvain Corlay</span></li>
<li><span class="yiyi-st" id="yiyi-1021">托马斯&#xB7;格兰杰</span></li>
<li><span class="yiyi-st" id="yiyi-1022">蒂亚戈安塔</span></li>
<li><span class="yiyi-st" id="yiyi-1023">Trent Hauck</span></li>
<li><span class="yiyi-st" id="yiyi-1024">维克多&#xB7;查韦斯</span></li>
<li><span class="yiyi-st" id="yiyi-1025">维克托&#xB7;萨尔加多</span></li>
<li><span class="yiyi-st" id="yiyi-1026">Vikram Bhandoh</span></li>
<li><span class="yiyi-st" id="yiyi-1027">王爱勇</span></li>
<li><span class="yiyi-st" id="yiyi-1028">Will Holmgren</span></li>
<li><span class="yiyi-st" id="yiyi-1029">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-1030">布鲁斯利</span></li>
<li><span class="yiyi-st" id="yiyi-1031">夏兰花papaloizou</span></li>
<li><span class="yiyi-st" id="yiyi-1032">immerrr</span></li>
<li><span class="yiyi-st" id="yiyi-1033">jnmclarty</span></li>
<li><span class="yiyi-st" id="yiyi-1034">jreback</span></li>
<li><span class="yiyi-st" id="yiyi-1035">mgilbert</span></li>
<li><span class="yiyi-st" id="yiyi-1036">onesandzeroes</span></li>
<li><span class="yiyi-st" id="yiyi-1037">peadarcoyle</span></li>
<li><span class="yiyi-st" id="yiyi-1038">rockg</span></li>
<li><span class="yiyi-st" id="yiyi-1039">塞特山</span></li>
<li><span class="yiyi-st" id="yiyi-1040">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-1041">unutbu</span></li>
<li><span class="yiyi-st" id="yiyi-1042">wavedatalab</span></li>
<li><span class="yiyi-st" id="yiyi-1043">&#xC5;smundHjulstad</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-15-1">
<h2><span class="yiyi-st" id="yiyi-1044">pandas 0.15.1</span></h2>
<p><span class="yiyi-st" id="yiyi-1045"><strong>发布日期：</strong>（2014年11月9日）</span></p>
<p><span class="yiyi-st" id="yiyi-1046">这是0.15.0的小版本，包括少量的API更改，几个新功能，增强功能和性能改进以及大量的错误修复。</span></p>
<p><span class="yiyi-st" id="yiyi-1047">有关已在0.15.1中修复的所有API更改，增强和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0151"><span class="std std-ref">v0.15.1 Whatsnew</span></a>概述。</span></p>
<div class="section" id="id11">
<h3><span class="yiyi-st" id="yiyi-1048">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1049">Aaron Staple</span></li>
<li><span class="yiyi-st" id="yiyi-1050">安德鲁&#xB7;罗森费尔德</span></li>
<li><span class="yiyi-st" id="yiyi-1051">Anton I. Sipos</span></li>
<li><span class="yiyi-st" id="yiyi-1052">Artemy Kolchinsky</span></li>
<li><span class="yiyi-st" id="yiyi-1053">比尔莱森</span></li>
<li><span class="yiyi-st" id="yiyi-1054">戴夫休斯</span></li>
<li><span class="yiyi-st" id="yiyi-1055">史蒂芬斯</span></li>
<li><span class="yiyi-st" id="yiyi-1056">Guillaume Horel</span></li>
<li><span class="yiyi-st" id="yiyi-1057">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-1058">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-1059">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-1060">尼克&#xB7;斯塔尔</span></li>
<li><span class="yiyi-st" id="yiyi-1061">Sanghee Kim</span></li>
<li><span class="yiyi-st" id="yiyi-1062">Stephan Hoyer</span></li>
<li><span class="yiyi-st" id="yiyi-1063">TomAugspurger</span></li>
<li><span class="yiyi-st" id="yiyi-1064">王爱勇</span></li>
<li><span class="yiyi-st" id="yiyi-1065">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-1066">immerrr</span></li>
<li><span class="yiyi-st" id="yiyi-1067">jnmclarty</span></li>
<li><span class="yiyi-st" id="yiyi-1068">jreback</span></li>
<li><span class="yiyi-st" id="yiyi-1069">pallav-fdsi</span></li>
<li><span class="yiyi-st" id="yiyi-1070">unutbu</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-15-0">
<h2><span class="yiyi-st" id="yiyi-1071">pandas 0.15.0</span></h2>
<p><span class="yiyi-st" id="yiyi-1072"><strong>发布日期：</strong>（2014年10月18日）</span></p>
<p><span class="yiyi-st" id="yiyi-1073">这是从0.14.1的主要版本，包括许多API更改，几个新功能，增强和性能改进以及大量的错误修复。</span></p>
<p><span class="yiyi-st" id="yiyi-1074">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1075">Drop support for numpy &lt; 1.7.0 (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/7711">GH7711</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1076"><code class="docutils literal"><span class="pre">Categorical</span></code>类型已集成为一类pandas类型，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0150-cat"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1077">新标量类型<code class="docutils literal"><span class="pre">Timedelta</span></code>和新的索引类型<code class="docutils literal"><span class="pre">TimedeltaIndex</span></code>，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0150-timedeltaindex"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1078">新的DataFrame默认显示<code class="docutils literal"><span class="pre">df.info()</span></code>以包括内存使用，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0150-memory"><span class="std std-ref">Memory Usage</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1079">有关系列的新数据类型属性访问器<code class="docutils literal"><span class="pre">.dt</span></code>，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0150-dt"><span class="std std-ref">Datetimelike Properties</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1080">将索引文档拆分为<a class="reference internal" href="indexing.html#indexing"><span class="std std-ref">Indexing and Selecting Data</span></a>和<a class="reference internal" href="advanced.html#advanced"><span class="std std-ref">MultiIndex / Advanced Indexing</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1081">将字符串方法文档拆分为<a class="reference internal" href="text.html#text"><span class="std std-ref">Working with Text Data</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1082"><code class="docutils literal"><span class="pre">read_csv</span></code>现在默认会在解析时忽略空行，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0150-blanklines"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1083">API更改在set操作中使用索引，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0150-index-set-ops"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1084"><code class="docutils literal"><span class="pre">Index</span></code>类不再是子类<code class="docutils literal"><span class="pre">ndarray</span></code>的内部重构，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0150-refactoring"><span class="std std-ref">Internal Refactoring</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1085">删除小于版本3.0.0的<code class="docutils literal"><span class="pre">PyTables</span></code>和小于版本2.1（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/7990">GH7990</a>）的<code class="docutils literal"><span class="pre">numexpr</span></code></span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-1086">有关已在0.15.0中修复的所有API更改，增强和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0150"><span class="std std-ref">v0.15.0 Whatsnew</span></a>概述或GitHub上的问题跟踪器。</span></p>
<div class="section" id="id12">
<h3><span class="yiyi-st" id="yiyi-1087">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1088">亚伦&#xB7;舒马赫</span></li>
<li><span class="yiyi-st" id="yiyi-1089">亚当&#xB7;格林豪尔</span></li>
<li><span class="yiyi-st" id="yiyi-1090">安迪海登</span></li>
<li><span class="yiyi-st" id="yiyi-1091">安东尼&#xB7;奥布莱恩</span></li>
<li><span class="yiyi-st" id="yiyi-1092">Artemy Kolchinsky</span></li>
<li><span class="yiyi-st" id="yiyi-1093">behzad nouri</span></li>
<li><span class="yiyi-st" id="yiyi-1094">Benedikt萨尔</span></li>
<li><span class="yiyi-st" id="yiyi-1095">本杰明</span></li>
<li><span class="yiyi-st" id="yiyi-1096">本杰明&#xB7;Thyreau</span></li>
<li><span class="yiyi-st" id="yiyi-1097">本席勒</span></li>
<li><span class="yiyi-st" id="yiyi-1098">bjonen</span></li>
<li><span class="yiyi-st" id="yiyi-1099">BorisVerk</span></li>
<li><span class="yiyi-st" id="yiyi-1100">克里斯&#xB7;雷诺兹</span></li>
<li><span class="yiyi-st" id="yiyi-1101">克里斯&#xB7;斯托弗</span></li>
<li><span class="yiyi-st" id="yiyi-1102">Dav Clark</span></li>
<li><span class="yiyi-st" id="yiyi-1103">dlovell</span></li>
<li><span class="yiyi-st" id="yiyi-1104">DSM</span></li>
<li><span class="yiyi-st" id="yiyi-1105">dsm054</span></li>
<li><span class="yiyi-st" id="yiyi-1106">FragLegs</span></li>
<li><span class="yiyi-st" id="yiyi-1107">德语Gomez-Herrero</span></li>
<li><span class="yiyi-st" id="yiyi-1108">杨晓明</span></li>
<li><span class="yiyi-st" id="yiyi-1109">环李</span></li>
<li><span class="yiyi-st" id="yiyi-1110">hunterowens</span></li>
<li><span class="yiyi-st" id="yiyi-1111">Hyungtae Kim</span></li>
<li><span class="yiyi-st" id="yiyi-1112">immerrr</span></li>
<li><span class="yiyi-st" id="yiyi-1113">Isaac Slavitt</span></li>
<li><span class="yiyi-st" id="yiyi-1114">ischwabacher</span></li>
<li><span class="yiyi-st" id="yiyi-1115">雅各布&#xB7;沙尔</span></li>
<li><span class="yiyi-st" id="yiyi-1116">雅各布&#xB7;瓦瑟曼</span></li>
<li><span class="yiyi-st" id="yiyi-1117">Jan Schulz</span></li>
<li><span class="yiyi-st" id="yiyi-1118">杰夫特拉特纳</span></li>
<li><span class="yiyi-st" id="yiyi-1119">Jesse Farnham</span></li>
<li><span class="yiyi-st" id="yiyi-1120">jmorris0x0</span></li>
<li><span class="yiyi-st" id="yiyi-1121">jnmclarty</span></li>
<li><span class="yiyi-st" id="yiyi-1122">乔布拉迪斯</span></li>
<li><span class="yiyi-st" id="yiyi-1123">Joerg Rittinger</span></li>
<li><span class="yiyi-st" id="yiyi-1124">约翰&#xB7;奥布莱恩</span></li>
<li><span class="yiyi-st" id="yiyi-1125">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-1126">jreback</span></li>
<li><span class="yiyi-st" id="yiyi-1127">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-1128">klonuo</span></li>
<li><span class="yiyi-st" id="yiyi-1129">凯尔迈尔</span></li>
<li><span class="yiyi-st" id="yiyi-1130">词汇</span></li>
<li><span class="yiyi-st" id="yiyi-1131">Max Chang</span></li>
<li><span class="yiyi-st" id="yiyi-1132">mcjcode</span></li>
<li><span class="yiyi-st" id="yiyi-1133">迈克尔&#xB7;米勒</span></li>
<li><span class="yiyi-st" id="yiyi-1134">Michael W Schatzow</span></li>
<li><span class="yiyi-st" id="yiyi-1135">麦克凯利</span></li>
<li><span class="yiyi-st" id="yiyi-1136">Mortada Mehyar</span></li>
<li><span class="yiyi-st" id="yiyi-1137">mtrbean</span></li>
<li><span class="yiyi-st" id="yiyi-1138">内森&#xB7;桑德斯</span></li>
<li><span class="yiyi-st" id="yiyi-1139">Nathan Typanski</span></li>
<li><span class="yiyi-st" id="yiyi-1140">onesandzeroes</span></li>
<li><span class="yiyi-st" id="yiyi-1141">保罗&#xB7;马歇尔</span></li>
<li><span class="yiyi-st" id="yiyi-1142">菲利普云</span></li>
<li><span class="yiyi-st" id="yiyi-1143">Pietro Battiston</span></li>
<li><span class="yiyi-st" id="yiyi-1144">RenzoBertocchi</span></li>
<li><span class="yiyi-st" id="yiyi-1145">rockg</span></li>
<li><span class="yiyi-st" id="yiyi-1146">Ross Petchler</span></li>
<li><span class="yiyi-st" id="yiyi-1147">塞特山</span></li>
<li><span class="yiyi-st" id="yiyi-1148">Shahul Hameed</span></li>
<li><span class="yiyi-st" id="yiyi-1149">Shashank Agarwal</span></li>
<li><span class="yiyi-st" id="yiyi-1150">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-1151">someben</span></li>
<li><span class="yiyi-st" id="yiyi-1152">stahlous</span></li>
<li><span class="yiyi-st" id="yiyi-1153">stas-sl</span></li>
<li><span class="yiyi-st" id="yiyi-1154">Stephan Hoyer</span></li>
<li><span class="yiyi-st" id="yiyi-1155">那个</span></li>
<li><span class="yiyi-st" id="yiyi-1156">tom-alcorn</span></li>
<li><span class="yiyi-st" id="yiyi-1157">TomAugspurger</span></li>
<li><span class="yiyi-st" id="yiyi-1158">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-1159">托尼&#xB7;洛伦佐</span></li>
<li><span class="yiyi-st" id="yiyi-1160">未知</span></li>
<li><span class="yiyi-st" id="yiyi-1161">unutbu</span></li>
<li><span class="yiyi-st" id="yiyi-1162">Wes Turner</span></li>
<li><span class="yiyi-st" id="yiyi-1163">Wilfred Hughes</span></li>
<li><span class="yiyi-st" id="yiyi-1164">Yevgeniy Grechka</span></li>
<li><span class="yiyi-st" id="yiyi-1165">YoshikiV&#xC3;&#xA1;zquezBaeza</span></li>
<li><span class="yiyi-st" id="yiyi-1166">zachcp</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-14-1">
<h2><span class="yiyi-st" id="yiyi-1167">pandas 0.14.1</span></h2>
<p><span class="yiyi-st" id="yiyi-1168"><strong>发布日期：</strong>（2014年7月11日）</span></p>
<p><span class="yiyi-st" id="yiyi-1169">这是一个从0.14.0的小版本，包括少量的API更改，几个新功能，增强功能和性能改进以及大量的错误修复。</span></p>
<p><span class="yiyi-st" id="yiyi-1170">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1171">新方法<a class="reference internal" href="generated/pandas.DataFrame.select_dtypes.html#pandas.DataFrame.select_dtypes" title="pandas.DataFrame.select_dtypes"><code class="xref py py-meth docutils literal"><span class="pre">select_dtypes()</span></code></a>基于dtype和<a class="reference internal" href="generated/pandas.Series.sem.html#pandas.Series.sem" title="pandas.Series.sem"><code class="xref py py-meth docutils literal"><span class="pre">sem()</span></code></a>选择列来计算平均值的标准误差。</span></li>
<li><span class="yiyi-st" id="yiyi-1172">支持dateutil时区（请参阅<a class="reference internal" href="timeseries.html#timeseries-timezone"><span class="std std-ref">docs</span></a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1173">支持忽略<a class="reference internal" href="generated/pandas.read_csv.html#pandas.read_csv" title="pandas.read_csv"><code class="xref py py-func docutils literal"><span class="pre">read_csv()</span></code></a>文本解析器中的整行注释。</span></li>
<li><span class="yiyi-st" id="yiyi-1174">关于<a class="reference internal" href="options.html#options"><span class="std std-ref">Options and Settings</span></a>的新文档部分。</span></li>
<li><span class="yiyi-st" id="yiyi-1175">大量的错误修复。</span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-1176">有关已在0.14.1中修复的所有API更改，增强和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0141"><span class="std std-ref">v0.14.1 Whatsnew</span></a>概述或GitHub上的问题跟踪器。</span></p>
<div class="section" id="id13">
<h3><span class="yiyi-st" id="yiyi-1177">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1178">安德鲁&#xB7;罗森费尔德</span></li>
<li><span class="yiyi-st" id="yiyi-1179">安迪海登</span></li>
<li><span class="yiyi-st" id="yiyi-1180">本杰明&#xB7;亚当斯</span></li>
<li><span class="yiyi-st" id="yiyi-1181">Benjamin M.Gross</span></li>
<li><span class="yiyi-st" id="yiyi-1182">Brian Quistorff</span></li>
<li><span class="yiyi-st" id="yiyi-1183">Brian Wignall</span></li>
<li><span class="yiyi-st" id="yiyi-1184">bwignall</span></li>
<li><span class="yiyi-st" id="yiyi-1185">克拉姆</span></li>
<li><span class="yiyi-st" id="yiyi-1186">丹尼尔&#xB7;韦伯</span></li>
<li><span class="yiyi-st" id="yiyi-1187">大卫Bew</span></li>
<li><span class="yiyi-st" id="yiyi-1188">史蒂芬斯</span></li>
<li><span class="yiyi-st" id="yiyi-1189">DSM</span></li>
<li><span class="yiyi-st" id="yiyi-1190">dsm054</span></li>
<li><span class="yiyi-st" id="yiyi-1191">helger</span></li>
<li><span class="yiyi-st" id="yiyi-1192">immerrr</span></li>
<li><span class="yiyi-st" id="yiyi-1193">雅各布&#xB7;沙尔</span></li>
<li><span class="yiyi-st" id="yiyi-1194">jaimefrio</span></li>
<li><span class="yiyi-st" id="yiyi-1195">Jan Schulz</span></li>
<li><span class="yiyi-st" id="yiyi-1196">约翰&#xB7;戴维&#xB7;雷弗</span></li>
<li><span class="yiyi-st" id="yiyi-1197">约翰&#xB7;奥布莱恩</span></li>
<li><span class="yiyi-st" id="yiyi-1198">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-1199">jreback</span></li>
<li><span class="yiyi-st" id="yiyi-1200">Julien Danjou</span></li>
<li><span class="yiyi-st" id="yiyi-1201">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-1202">K.-Michael Aye</span></li>
<li><span class="yiyi-st" id="yiyi-1203">凯尔迈尔</span></li>
<li><span class="yiyi-st" id="yiyi-1204">词汇</span></li>
<li><span class="yiyi-st" id="yiyi-1205">马修&#xB7;布雷特</span></li>
<li><span class="yiyi-st" id="yiyi-1206">马特&#xB7;威特曼</span></li>
<li><span class="yiyi-st" id="yiyi-1207">迈克尔&#xB7;米勒</span></li>
<li><span class="yiyi-st" id="yiyi-1208">Mortada Mehyar</span></li>
<li><span class="yiyi-st" id="yiyi-1209">onesandzeroes</span></li>
<li><span class="yiyi-st" id="yiyi-1210">菲利普云</span></li>
<li><span class="yiyi-st" id="yiyi-1211">Rob Levy</span></li>
<li><span class="yiyi-st" id="yiyi-1212">rockg</span></li>
<li><span class="yiyi-st" id="yiyi-1213">sanguineturtle</span></li>
<li><span class="yiyi-st" id="yiyi-1214">Schaer，Jacob C</span></li>
<li><span class="yiyi-st" id="yiyi-1215">塞特山</span></li>
<li><span class="yiyi-st" id="yiyi-1216">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-1217">Stephan Hoyer</span></li>
<li><span class="yiyi-st" id="yiyi-1218">托马斯Kluyver</span></li>
<li><span class="yiyi-st" id="yiyi-1219">托德詹宁斯</span></li>
<li><span class="yiyi-st" id="yiyi-1220">TomAugspurger</span></li>
<li><span class="yiyi-st" id="yiyi-1221">未知</span></li>
<li><span class="yiyi-st" id="yiyi-1222">yelite</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-14-0">
<h2><span class="yiyi-st" id="yiyi-1223">pandas 0.14.0</span></h2>
<p><span class="yiyi-st" id="yiyi-1224"><strong>发布日期：</strong>（2014年5月31日）</span></p>
<p><span class="yiyi-st" id="yiyi-1225">这是从0.13.1的主要版本，包括许多API更改，几个新功能，增强功能和性能改进以及大量的错误修复。</span></p>
<p><span class="yiyi-st" id="yiyi-1226">亮点包括：</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1227">官方支持Python 3.4</span></li>
<li><span class="yiyi-st" id="yiyi-1228">SQL接口已更新为使用<code class="docutils literal"><span class="pre">sqlalchemy</span></code>，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0140-sql"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-1229">显示接口更改，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0140-display"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1230">使用切片器的多索引，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0140-slicers"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-1231">能够使用多索引DataFrame加入单索引DataFrame，请参见<a class="reference internal" href="merging.html#merging-join-on-mi"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1232">groupby结果和更灵活的groupby规范更加一致，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0140-groupby"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1233">假日日历现在支持<code class="docutils literal"><span class="pre">CustomBusinessDay</span></code>，请参阅<a class="reference internal" href="timeseries.html#timeseries-holiday"><span class="std std-ref">here</span></a></span></li>
<li><span class="yiyi-st" id="yiyi-1234">绘图函数的几个改进，包括：hexbin，面积和饼图，请参见<a class="reference internal" href="whatsnew.html#whatsnew-0140-plotting"><span class="std std-ref">here</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-1235">有关I / O操作的性能文档部分，请参见<a class="reference internal" href="io.html#io-perf"><span class="std std-ref">here</span></a></span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-1236">有关已在0.14.0中修复的所有API更改，增强和错误的详细列表，请参阅<a class="reference internal" href="whatsnew.html#whatsnew-0140"><span class="std std-ref">v0.14.0 Whatsnew</span></a>概述或GitHub上的问题跟踪器。</span></p>
<div class="section" id="id14">
<h3><span class="yiyi-st" id="yiyi-1237">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1238">Acanthostega</span></li>
<li><span class="yiyi-st" id="yiyi-1239">亚当&#xB7;马库斯</span></li>
<li><span class="yiyi-st" id="yiyi-1240">agijsberts</span></li>
<li><span class="yiyi-st" id="yiyi-1241">akittredge</span></li>
<li><span class="yiyi-st" id="yiyi-1242">Alex Gaudio</span></li>
<li><span class="yiyi-st" id="yiyi-1243">亚历克斯罗斯伯格</span></li>
<li><span class="yiyi-st" id="yiyi-1244">AllenDowney</span></li>
<li><span class="yiyi-st" id="yiyi-1245">安德鲁&#xB7;罗森费尔德</span></li>
<li><span class="yiyi-st" id="yiyi-1246">安迪海登</span></li>
<li><span class="yiyi-st" id="yiyi-1247">安科斯蒂斯</span></li>
<li><span class="yiyi-st" id="yiyi-1248">异常</span></li>
<li><span class="yiyi-st" id="yiyi-1249">安托万Mazi&#xE8;res</span></li>
<li><span class="yiyi-st" id="yiyi-1250">安东山</span></li>
<li><span class="yiyi-st" id="yiyi-1251">bashtage</span></li>
<li><span class="yiyi-st" id="yiyi-1252">Benedikt萨尔</span></li>
<li><span class="yiyi-st" id="yiyi-1253">本杰明</span></li>
<li><span class="yiyi-st" id="yiyi-1254">布拉德&#xB7;布兰</span></li>
<li><span class="yiyi-st" id="yiyi-1255">bwignall</span></li>
<li><span class="yiyi-st" id="yiyi-1256">cgohlke</span></li>
<li><span class="yiyi-st" id="yiyi-1257">chebee7i</span></li>
<li><span class="yiyi-st" id="yiyi-1258">克里斯托弗&#xB7;威兰</span></li>
<li><span class="yiyi-st" id="yiyi-1259">Clark Fitzgerald</span></li>
<li><span class="yiyi-st" id="yiyi-1260">克拉姆</span></li>
<li><span class="yiyi-st" id="yiyi-1261">Dale Jung</span></li>
<li><span class="yiyi-st" id="yiyi-1262">丹艾伦</span></li>
<li><span class="yiyi-st" id="yiyi-1263">Dan Birken</span></li>
<li><span class="yiyi-st" id="yiyi-1264">danielballan</span></li>
<li><span class="yiyi-st" id="yiyi-1265">丹尼尔&#xB7;韦伯</span></li>
<li><span class="yiyi-st" id="yiyi-1266">大卫&#xB7;荣</span></li>
<li><span class="yiyi-st" id="yiyi-1267">史蒂芬斯</span></li>
<li><span class="yiyi-st" id="yiyi-1268">道格拉斯&#xB7;麦克尼尔</span></li>
<li><span class="yiyi-st" id="yiyi-1269">DSM</span></li>
<li><span class="yiyi-st" id="yiyi-1270">Garrett Drapala</span></li>
<li><span class="yiyi-st" id="yiyi-1271">Gouthaman Balaraman</span></li>
<li><span class="yiyi-st" id="yiyi-1272">Guillaume Poulin</span></li>
<li><span class="yiyi-st" id="yiyi-1273">hshimizu77</span></li>
<li><span class="yiyi-st" id="yiyi-1274">雨果</span></li>
<li><span class="yiyi-st" id="yiyi-1275">immerrr</span></li>
<li><span class="yiyi-st" id="yiyi-1276">ischwabacher</span></li>
<li><span class="yiyi-st" id="yiyi-1277">雅各布&#xB7;霍华德</span></li>
<li><span class="yiyi-st" id="yiyi-1278">雅各布&#xB7;沙尔</span></li>
<li><span class="yiyi-st" id="yiyi-1279">jaimefrio</span></li>
<li><span class="yiyi-st" id="yiyi-1280">Jason Sexauer</span></li>
<li><span class="yiyi-st" id="yiyi-1281">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-1282">杰弗里&#xB7;斯塔尔</span></li>
<li><span class="yiyi-st" id="yiyi-1283">杰夫特拉特纳</span></li>
<li><span class="yiyi-st" id="yiyi-1284">约翰&#xB7;戴维&#xB7;雷弗</span></li>
<li><span class="yiyi-st" id="yiyi-1285">麦克纳马拉</span></li>
<li><span class="yiyi-st" id="yiyi-1286">约翰&#xB7;奥布莱恩</span></li>
<li><span class="yiyi-st" id="yiyi-1287">乔纳森钱伯斯</span></li>
<li><span class="yiyi-st" id="yiyi-1288">Joris Van den Bossche</span></li>
<li><span class="yiyi-st" id="yiyi-1289">jreback</span></li>
<li><span class="yiyi-st" id="yiyi-1290">jsexauer</span></li>
<li><span class="yiyi-st" id="yiyi-1291">Julia Evans</span></li>
<li><span class="yiyi-st" id="yiyi-1292">J&#xFA;lio</span></li>
<li><span class="yiyi-st" id="yiyi-1293">凯蒂&#xB7;阿特金森</span></li>
<li><span class="yiyi-st" id="yiyi-1294">kdiether</span></li>
<li><span class="yiyi-st" id="yiyi-1295">Kelsey Jordahl</span></li>
<li><span class="yiyi-st" id="yiyi-1296">凯文谢泼德</span></li>
<li><span class="yiyi-st" id="yiyi-1297">K.-Michael Aye</span></li>
<li><span class="yiyi-st" id="yiyi-1298">Matthias Kuhn</span></li>
<li><span class="yiyi-st" id="yiyi-1299">马特&#xB7;威特曼</span></li>
<li><span class="yiyi-st" id="yiyi-1300">麦克斯格伦德 - 琼斯</span></li>
<li><span class="yiyi-st" id="yiyi-1301">Michael E. Gruen</span></li>
<li><span class="yiyi-st" id="yiyi-1302">michaelws</span></li>
<li><span class="yiyi-st" id="yiyi-1303">mikebailey</span></li>
<li><span class="yiyi-st" id="yiyi-1304">麦克凯利</span></li>
<li><span class="yiyi-st" id="yiyi-1305">尼姑巴特拉</span></li>
<li><span class="yiyi-st" id="yiyi-1306">诺亚间谍</span></li>
<li><span class="yiyi-st" id="yiyi-1307">ojdo</span></li>
<li><span class="yiyi-st" id="yiyi-1308">onesandzeroes</span></li>
<li><span class="yiyi-st" id="yiyi-1309">帕特里克&#xB7;奥克菲</span></li>
<li><span class="yiyi-st" id="yiyi-1310">phaebz</span></li>
<li><span class="yiyi-st" id="yiyi-1311">菲利普云</span></li>
<li><span class="yiyi-st" id="yiyi-1312">Pietro Battiston</span></li>
<li><span class="yiyi-st" id="yiyi-1313">PKEuS</span></li>
<li><span class="yiyi-st" id="yiyi-1314">Randy Carnevale</span></li>
<li><span class="yiyi-st" id="yiyi-1315">ribonoous</span></li>
<li><span class="yiyi-st" id="yiyi-1316">罗伯特吉博邦尼</span></li>
<li><span class="yiyi-st" id="yiyi-1317">rockg</span></li>
<li><span class="yiyi-st" id="yiyi-1318">sinhrks</span></li>
<li><span class="yiyi-st" id="yiyi-1319">船长海鸟</span></li>
<li><span class="yiyi-st" id="yiyi-1320">SplashDance</span></li>
<li><span class="yiyi-st" id="yiyi-1321">Stephan Hoyer</span></li>
<li><span class="yiyi-st" id="yiyi-1322">蒂姆&#xB7;切拉</span></li>
<li><span class="yiyi-st" id="yiyi-1323">Tobias Brandt</span></li>
<li><span class="yiyi-st" id="yiyi-1324">托德詹宁斯</span></li>
<li><span class="yiyi-st" id="yiyi-1325">TomAugspurger</span></li>
<li><span class="yiyi-st" id="yiyi-1326">汤姆&#xB7;奥古斯都</span></li>
<li><span class="yiyi-st" id="yiyi-1327">unutbu</span></li>
<li><span class="yiyi-st" id="yiyi-1328">westurner</span></li>
<li><span class="yiyi-st" id="yiyi-1329">雅罗斯拉夫Halchenko</span></li>
<li><span class="yiyi-st" id="yiyi-1330">y-p</span></li>
<li><span class="yiyi-st" id="yiyi-1331">zach权力</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-13-1">
<h2><span class="yiyi-st" id="yiyi-1332">pandas 0.13.1</span></h2>
<p><span class="yiyi-st" id="yiyi-1333"><strong>发布日期：</strong>（2014年2月3日）</span></p>
<div class="section" id="new-features">
<h3><span class="yiyi-st" id="yiyi-1334">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1335">将<code class="docutils literal"><span class="pre">date_format</span></code>和<code class="docutils literal"><span class="pre">datetime_format</span></code>属性添加到<code class="docutils literal"><span class="pre">ExcelWriter</span></code>。</span><span class="yiyi-st" id="yiyi-1336">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4133">GH4133</a>）</span></li>
</ul>
</div>
<div class="section" id="api-changes">
<h3><span class="yiyi-st" id="yiyi-1337">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1338"><code class="docutils literal"><span class="pre">Series.sort</span></code>在对另一个对象进行排序时会引发<code class="docutils literal"><span class="pre">ValueError</span></code>（而不是<code class="docutils literal"><span class="pre">TypeError</span></code>）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5856">GH5856 ，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5853">GH5853</a>）</a></span></li>
<li><span class="yiyi-st" id="yiyi-1339">Raise/Warn <code class="docutils literal"><span class="pre">SettingWithCopyError</span></code> (according to the option <code class="docutils literal"><span class="pre">chained_assignment</span></code> in more cases, when detecting chained assignment, related (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5938">GH5938</a>, <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6025">GH6025</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1340">DataFrame.head（0）返回self而不是空框架（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5846">GH5846</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1341"><code class="docutils literal"><span class="pre">autocorrelation_plot</span></code>现在接受<code class="docutils literal"><span class="pre">**kwargs</span></code>。</span><span class="yiyi-st" id="yiyi-1342">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5623">GH5623</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1343"><code class="docutils literal"><span class="pre">convert_objects</span></code>现在接受<code class="docutils literal"><span class="pre">convert_timedeltas=&apos;coerce&apos;</span></code>参数以允许对timedeltas进行强制dtype转换（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5458">GH5458</a>，：issue：<cite>5689 ）</cite></span></li>
<li><span class="yiyi-st" id="yiyi-1344">将<code class="docutils literal"><span class="pre">-NaN</span></code>和<code class="docutils literal"><span class="pre">-nan</span></code>添加到默认的NA值集合（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5952">GH5952</a>）。</span><span class="yiyi-st" id="yiyi-1345">请参阅<a class="reference internal" href="io.html#io-na-values"><span class="std std-ref">NA Values</span></a>。</span></li>
<li><span class="yiyi-st" id="yiyi-1346"><code class="docutils literal"><span class="pre">NDFrame</span></code>现在有一个<code class="docutils literal"><span class="pre">equals</span></code>方法。</span><span class="yiyi-st" id="yiyi-1347">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5283">GH5283</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1348"><code class="docutils literal"><span class="pre">DataFrame.apply</span></code> will use the <code class="docutils literal"><span class="pre">reduce</span></code> argument to determine whether a <code class="docutils literal"><span class="pre">Series</span></code> or a <code class="docutils literal"><span class="pre">DataFrame</span></code> should be returned when the <code class="docutils literal"><span class="pre">DataFrame</span></code> is empty (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6007">GH6007</a>).</span></li>
</ul>
</div>
<div class="section" id="experimental-features">
<h3><span class="yiyi-st" id="yiyi-1349">Experimental Features</span></h3>
</div>
<div class="section" id="improvements-to-existing-features">
<h3><span class="yiyi-st" id="yiyi-1350">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1351">系列datetime / timedelta二进制操作中的perf改进（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5801">GH5801</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1352"><cite>option_context</cite>上下文管理器现在可用作顶级API（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5752">GH5752</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1353">df.info()视图现在显示每列的dtype信息（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5682">GH5682</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1354">df.info()现在支持选项max_info_rows，禁用大框架的空计数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5974">GH5974</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1355">对于<code class="docutils literal"><span class="pre">axis=1</span></code>，DataFrame <code class="docutils literal"><span class="pre">count/dropna</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1356">Series.str.contains现在有一个<cite>regex = False</cite>关键字，对于纯（非正则表达式）字符串模式可以更快。</span><span class="yiyi-st" id="yiyi-1357">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5879">GH5879</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1358">支持<code class="docutils literal"><span class="pre">Series/Panel/Panel4D</span></code>上的<code class="docutils literal"><span class="pre">dtypes</span></code>属性</span></li>
<li><span class="yiyi-st" id="yiyi-1359">扩展<code class="docutils literal"><span class="pre">Panel.apply</span></code>以允许任意函数（而不只是ufuncs）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1148">GH1148</a>）允许多个轴用于操作<code class="docutils literal"><span class="pre">Panel</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1360"><code class="docutils literal"><span class="pre">datetime</span></code>和<code class="docutils literal"><span class="pre">timedelta64</span></code>的<code class="docutils literal"><span class="pre">ArrayFormatter</span></code>现在根据数组中的值智能地限制精度（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3401">GH3401</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1361"><code class="docutils literal"><span class="pre">pd.show_versions()</span></code>现在可以方便地报告问题。</span></li>
<li><span class="yiyi-st" id="yiyi-1362">perf improvements to Series.str.extract (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5944">GH5944</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1363">在<code class="docutils literal"><span class="pre">dtypes/ftypes</span></code>方法中改进效果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5968">GH5968</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1364">对象类型索引的改进（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5968">GH5968</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1365">对传递给构造函数的<code class="docutils literal"><span class="pre">timedelta</span></code>的改进的类型推断（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5458">GH5458</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5689">GH5689</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1366">写入乳胶时转义特殊字符（：issue：<cite>5374</cite>）</span></li>
<li><span class="yiyi-st" id="yiyi-1367">改善<code class="docutils literal"><span class="pre">DataFrame.apply</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6013">GH6013</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1368"><code class="docutils literal"><span class="pre">pd.read_csv</span></code>和<code class="docutils literal"><span class="pre">pd.to_datetime</span></code>学习了一个新的<code class="docutils literal"><span class="pre">infer_datetime_format</span></code>关键字，这在很多情况下大大提高了解析perf。</span><span class="yiyi-st" id="yiyi-1369">感谢@lexual的建议和@danbirken快速实现。</span><span class="yiyi-st" id="yiyi-1370">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5490">GH5490</a>，：issue：<cite>6021</cite>）</span></li>
<li><span class="yiyi-st" id="yiyi-1371">添加在提供特定格式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5361">GH5361</a>）时识别“％p”格式代码（am / pm）到日期解析器的能力</span></li>
<li><span class="yiyi-st" id="yiyi-1372">修复JSON IO中的性能回归（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5765">GH5765</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1373">性能回归在系列索引建设（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6150">GH6150</a>）</span></li>
</ul>
</div>
<div class="section" id="bug-fixes">
<span id="release-bug-fixes-0-13-1"></span><h3><span class="yiyi-st" id="yiyi-1374">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1375"><code class="docutils literal"><span class="pre">io.wb.get_countries</span></code>中的错误不包括所有国家/地区（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6008">GH6008</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1376">系列中的Bug替换为timestamp dict（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5797">GH5797</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1377">read_csv / read_table现在遵守<cite>前缀</cite> kwarg（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5732">GH5732</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1378">通过重复索引的DataFrame失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5835">GH5835</a>），通过<code class="docutils literal"><span class="pre">.ix</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1379">修复空数据框架（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5808">GH5808</a>）上布尔比较的问题</span></li>
<li><span class="yiyi-st" id="yiyi-1380">在对象数组中处理<code class="docutils literal"><span class="pre">NaT</span></code>中的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5443">GH5443</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1381">在传递<code class="docutils literal"><span class="pre">np.nan</span></code>或整数datelike和格式字符串（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5863">GH5863</a>）时，<code class="docutils literal"><span class="pre">to_datetime</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1382">在groupby中使用datetimelike（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5869">GH5869</a>）转换错误</span></li>
<li><span class="yiyi-st" id="yiyi-1383">处理空系列作为索引器到系列的回归（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5877">GH5877</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1384">内部缓存中的错误，与（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5727">GH5727</a>）相关</span></li>
<li><span class="yiyi-st" id="yiyi-1385">测试在py3（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5874">GH5874</a>）下从windows上的非文件路径读取JSON / msgpack的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1386">分配到.ix [tuple（...）]（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5896">GH5896</a>）时出错</span></li>
<li><span class="yiyi-st" id="yiyi-1387">无法完全重建索​​引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5905">GH5905</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1388">带有对象dtypes（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5914">GH5914</a>）的idxmin / max中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1389">在n&gt; 5且n％5 == 0（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5890">GH5890</a>）的情况下，在将日期添加到日期而不是偏移时，<code class="docutils literal"><span class="pre">BusinessDay</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1390">在通过ix（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5928">GH5928</a>）分配到一个系列的链式系列时出错</span></li>
<li><span class="yiyi-st" id="yiyi-1391">在创建空DataFrame，复制，然后分配（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5932">GH5932</a>）时出错</span></li>
<li><span class="yiyi-st" id="yiyi-1392">在DataFrame.tail中出现空框错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5846">GH5846</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1393">在传播<code class="docutils literal"><span class="pre">resample</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5862">GH5862</a>）中的中继资料时发生错误</span></li>
<li><span class="yiyi-st" id="yiyi-1394">将<code class="docutils literal"><span class="pre">NaT</span></code>的字符串表示形式固定为“NaT”（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5708">GH5708</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1395">固定的字符串表示形式，用于显示纳秒（如果存在）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5912">GH5912</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1396"><code class="docutils literal"><span class="pre">pd.match</span></code>未返回通过的哨兵</span></li>
<li><span class="yiyi-st" id="yiyi-1397"><code class="docutils literal"><span class="pre">major_axis</span></code>为<code class="docutils literal"><span class="pre">MultiIndex</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5402">GH5402</a>）时，<code class="docutils literal"><span class="pre">Panel.to_frame()</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1398">在<code class="docutils literal"><span class="pre">pd.read_msgpack</span></code>中错误地推断了<code class="docutils literal"><span class="pre">DateTimeIndex</span></code>频率（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5947">GH5947</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1399">固定具有Tz感知数据时间和<code class="docutils literal"><span class="pre">NaT</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5961">GH5961</a>）的数组的<code class="docutils literal"><span class="pre">to_datetime</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1400">传递具有不良数据的系列时（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5749">GH5749</a>），滚动偏斜/峰度时出现错误</span></li>
<li><span class="yiyi-st" id="yiyi-1401">使用datetime索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5975">GH5975</a>）中的scipy <code class="docutils literal"><span class="pre">interpolate</span></code>方法中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1402">在NaT比较中的错误，如果通过NaT的混合datetime / np.datetime64（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5968">GH5968</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1403">如果所有输入为空（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5742">GH5742</a>），则修复<code class="docutils literal"><span class="pre">pd.concat</span></code>的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1404">IPython的最近更改导致在QTConsole中使用以前版本的pandas时发出警告，现在已修复。</span><span class="yiyi-st" id="yiyi-1405">如果您使用的是旧版本并需要抑制警告，请参阅（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5922">GH5922</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1406">在合并<code class="docutils literal"><span class="pre">timedelta</span></code> dtypes（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5695">GH5695</a>）时出错</span></li>
<li><span class="yiyi-st" id="yiyi-1407">Bug在plotting.scatter_matrix函数中。</span><span class="yiyi-st" id="yiyi-1408">对角线和非对角线图之间的对齐错误，参见（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5497">GH5497</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1409">使用多索引通过ix（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6018">GH6018</a>）串联回归</span></li>
<li><span class="yiyi-st" id="yiyi-1410">带有多索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6018">GH6018</a>）的Series.xs中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1411">Bug在具有datelike和整数的混合类型的系列构造中（应导致对象类型而不是自动转换）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6028">GH6028</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1412">在numpy 1.7.1（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6026">GH6026</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6056">GH6056</a>）下的对象数组的链接索引时可能的segfault</span></li>
<li><span class="yiyi-st" id="yiyi-1413">在设置中使用花样索引将单个元素与非标量（例如列表），（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6043">GH6043</a>）设置错误</span></li>
<li><span class="yiyi-st" id="yiyi-1414"><code class="docutils literal"><span class="pre">to_sql</span></code>没有遵守<code class="docutils literal"><span class="pre">if_exists</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4110">GH4110</a> <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4304">GH4304</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1415">回归<code class="docutils literal"><span class="pre">.get(None)</span></code>从0.12（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5652">GH5652</a>）索引</span></li>
<li><span class="yiyi-st" id="yiyi-1416">微妙的<code class="docutils literal"><span class="pre">iloc</span></code>索引bug，出现在（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6059">GH6059</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1417">将字符串插入DatetimeIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5818">GH5818</a>）时出错</span></li>
<li><span class="yiyi-st" id="yiyi-1418">to_html / HTML repr（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6098">GH6098</a>）中的固定unicode错误</span></li>
<li><span class="yiyi-st" id="yiyi-1419">修正get_options_data中缺少的arg验证（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6105">GH6105</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1420">位置为片段（例如，彼此相邻）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6120">GH6120</a>）的帧中重复列的分配错误</span></li>
<li><span class="yiyi-st" id="yiyi-1421">在构建具有dups索引/列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6121">GH6121</a>）的DataFrame期间传播_ref_locs中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1422">当使用混合数据类型减少（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6125">GH6125</a>）时，在<code class="docutils literal"><span class="pre">DataFrame.apply</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1423">在追加包含不同列的行（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6129">GH6129</a>）时，在<code class="docutils literal"><span class="pre">DataFrame.append</span></code>中出现错误</span></li>
<li><span class="yiyi-st" id="yiyi-1424">在使用recarray和非ns datetime dtype（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6140">GH6140</a>）构建DataFrame时出错</span></li>
<li><span class="yiyi-st" id="yiyi-1425">错误在<code class="docutils literal"><span class="pre">.loc</span></code> setitem索引与rhs上的数据框，多项目设置和datetimelike（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6152">GH6152</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1426">修正了在字典字符串比较（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6155">GH6155</a>）中<code class="docutils literal"><span class="pre">query</span></code> / <code class="docutils literal"><span class="pre">eval</span></code>中的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1427">修复了<code class="docutils literal"><span class="pre">query</span></code>中的一个错误，其中单元素<code class="docutils literal"><span class="pre">Series</span></code>的索引被丢弃（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6148">GH6148</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1428">在将带有多索引列的数据帧附加到现有表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6167">GH6167</a>）时，<code class="docutils literal"><span class="pre">HDFStore</span></code>中有错误</span></li>
<li><span class="yiyi-st" id="yiyi-1429">与dtypes在设置空DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6171">GH6171</a>）时的一致性</span></li>
<li><span class="yiyi-st" id="yiyi-1430">即使存在指定的列规格（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6169">GH6169</a>），也无法在多索引<code class="docutils literal"><span class="pre">HDFStore</span></code>上进行选择</span></li>
<li><span class="yiyi-st" id="yiyi-1431">在某些平台上，<code class="docutils literal"><span class="pre">nanops.var</span></code>中的错误与<code class="docutils literal"><span class="pre">ddof=1</span></code>和1个元素有时会返回<code class="docutils literal"><span class="pre">inf</span></code>而不是<code class="docutils literal"><span class="pre">nan</span></code> （<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6136">GH6136</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1432">在忽略<code class="docutils literal"><span class="pre">use_index</span></code>关键字（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6209">GH6209</a>）的Series和DataFrame条形图中出现错误</span></li>
<li><span class="yiyi-st" id="yiyi-1433">在groupby中使用混合str / int在python3下修复bug； <code class="docutils literal"><span class="pre">argsort</span></code>失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6212">GH6212</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-13-0">
<h2><span class="yiyi-st" id="yiyi-1434">pandas 0.13.0</span></h2>
<p><span class="yiyi-st" id="yiyi-1435"><strong>发布日期：</strong> 2014年1月3日</span></p>
<div class="section" id="id15">
<h3><span class="yiyi-st" id="yiyi-1436">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1437"><code class="docutils literal"><span class="pre">plot(kind=&apos;kde&apos;)</span></code>现在接受传递给scipy.stats.gaussian_kde()的可选参数<code class="docutils literal"><span class="pre">bw_method</span></code>和<code class="docutils literal"><span class="pre">ind</span></code> &gt; = 0.11.0）来设置带宽，并使用gkde.evaluate()来分别指定要评估的指标。</span><span class="yiyi-st" id="yiyi-1438">参见scipy文档。</span><span class="yiyi-st" id="yiyi-1439">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4298">GH4298</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1440">向DataFrame添加了<code class="docutils literal"><span class="pre">isin</span></code>方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4211">GH4211</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1441"><code class="docutils literal"><span class="pre">df.to_clipboard()</span></code>学习了一个新的<code class="docutils literal"><span class="pre">excel</span></code>关键字，让您将df数据直接粘贴到excel中（默认启用）。</span><span class="yiyi-st" id="yiyi-1442">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5070">GH5070</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1443">剪贴板功能现在可以与PySide（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4282">GH4282</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1444">新<code class="docutils literal"><span class="pre">extract</span></code>字符串方法更方便地返回正则表达式匹配（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4685">GH4685</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1445">未指定时在read_fwf中自动检测字段宽度（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4488">GH4488</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1446"><code class="docutils literal"><span class="pre">to_csv()</span></code>现在通过<code class="docutils literal"><span class="pre">date_format</span></code>关键字（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4313">GH4313</a>）根据指定的格式字符串输出datetime对象</span></li>
<li><span class="yiyi-st" id="yiyi-1447">添加了<code class="docutils literal"><span class="pre">LastWeekOfMonth</span></code> DateOffset（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4637">GH4637</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1448">添加了<code class="docutils literal"><span class="pre">cumcount</span></code> groupby方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4646">GH4646</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1449">添加了<code class="docutils literal"><span class="pre">FY5253</span></code>和<code class="docutils literal"><span class="pre">FY5253Quarter</span></code> DateOffsets（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4511">GH4511</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1450">将<code class="docutils literal"><span class="pre">mode()</span></code>方法添加到<code class="docutils literal"><span class="pre">Series</span></code>和<code class="docutils literal"><span class="pre">DataFrame</span></code>以获取列/系列的统计模式。</span><span class="yiyi-st" id="yiyi-1451">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5367">GH5367</a>）</span></li>
</ul>
</div>
<div class="section" id="id16">
<h3><span class="yiyi-st" id="yiyi-1452">Experimental Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1453">新的<a class="reference internal" href="generated/pandas.eval.html#pandas.eval" title="pandas.eval"><code class="xref py py-func docutils literal"><span class="pre">eval()</span></code></a>函数在后台使用<code class="docutils literal"><span class="pre">numexpr</span></code>实现表达式求值。</span><span class="yiyi-st" id="yiyi-1454">这导致涉及大型DataFrames / Series的复杂表达式的大幅加速。</span></li>
<li><span class="yiyi-st" id="yiyi-1455"><a class="reference internal" href="generated/pandas.DataFrame.html#pandas.DataFrame" title="pandas.DataFrame"><code class="xref py py-class docutils literal"><span class="pre">DataFrame</span></code></a>有一个新的<a class="reference internal" href="generated/pandas.DataFrame.eval.html#pandas.DataFrame.eval" title="pandas.DataFrame.eval"><code class="xref py py-meth docutils literal"><span class="pre">eval()</span></code></a>，用于评估<code class="docutils literal"><span class="pre">DataFrame</span></code>的上下文中的表达式；允许内联表达式赋值</span></li>
<li><span class="yiyi-st" id="yiyi-1456">添加了一个<a class="reference internal" href="generated/pandas.DataFrame.query.html#pandas.DataFrame.query" title="pandas.DataFrame.query"><code class="xref py py-meth docutils literal"><span class="pre">query()</span></code></a>方法，该方法允许您使用与Python语法几乎相同的自然查询语法来选择<code class="docutils literal"><span class="pre">DataFrame</span></code>的元素。</span></li>
<li><span class="yiyi-st" id="yiyi-1457"><code class="docutils literal"><span class="pre">pd.eval</span></code> and friends now evaluate operations involving <code class="docutils literal"><span class="pre">datetime64</span></code> objects in Python space because <code class="docutils literal"><span class="pre">numexpr</span></code> cannot handle <code class="docutils literal"><span class="pre">NaT</span></code> values (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4897">GH4897</a>).</span></li>
<li><span class="yiyi-st" id="yiyi-1458">通过<code class="docutils literal"><span class="pre">pd.read_msgpack()</span></code>和<code class="docutils literal"><span class="pre">pd.to_msgpack()</span></code> / <code class="docutils literal"><span class="pre">df.to_msgpack()</span></code>添加msgpack支持用于任意pandas（和python对象）以轻便的便携式二进制格式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/686">GH686</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5506">GH5506</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1459">添加了对qtpandas DataFrameModel和DataFrameWidget的PySide支持。</span></li>
<li><span class="yiyi-st" id="yiyi-1460">添加了<code class="xref py py-mod docutils literal"><span class="pre">pandas.io.gbq</span></code>，用于从Google BigQuery读取（和写入）DataFrame。</span><span class="yiyi-st" id="yiyi-1461">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4140">GH4140</a>）</span></li>
</ul>
</div>
<div class="section" id="id17">
<h3><span class="yiyi-st" id="yiyi-1462">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1463"><code class="docutils literal"><span class="pre">read_html</span></code>现在提出<code class="docutils literal"><span class="pre">URLError</span></code>，而不是捕捉并提高<code class="docutils literal"><span class="pre">ValueError</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4303">GH4303</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4305">GH4305  t7 &gt;）</a></span></li>
<li><span class="yiyi-st" id="yiyi-1464"><code class="docutils literal"><span class="pre">read_excel</span></code>现在在其<code class="docutils literal"><span class="pre">sheetname</span></code>参数中支持一个整数，给出要读入的工作表索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4301">GH4301</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1465"><code class="docutils literal"><span class="pre">get_dummies</span></code>适用于NaN（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4446">GH4446</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1466">添加了对<code class="docutils literal"><span class="pre">read_clipboard()</span></code>和<code class="docutils literal"><span class="pre">to_clipboard()</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4282">GH4282</a>）的测试</span></li>
<li><span class="yiyi-st" id="yiyi-1467">向<code class="docutils literal"><span class="pre">value_counts</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3945">GH3945</a>）添加了箱子参数，也排序和升序，现在可用于Series方法以及顶级函数。</span></li>
<li><span class="yiyi-st" id="yiyi-1468">文本解析器现在处理任何读为inf（“inf”，“Inf”，“-Inf”，“iNf”等）</span><span class="yiyi-st" id="yiyi-1469">到无穷远。</span><span class="yiyi-st" id="yiyi-1470">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4220">GH4220</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4219">GH4219</a>），影响<code class="docutils literal"><span class="pre">read_table</span></code>，<code class="docutils literal"><span class="pre">read_csv</span></code>等。</span></li>
<li><span class="yiyi-st" id="yiyi-1471">当plot参数包含重叠的颜色和样式参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4402">GH4402</a>）时，添加了更多的信息性错误消息</span></li>
<li><span class="yiyi-st" id="yiyi-1472">在<code class="docutils literal"><span class="pre">HDFStore</span></code>中显着改善表的写入性能</span></li>
<li><span class="yiyi-st" id="yiyi-1473">JSON日期序列化现在在低级C代码中执行。</span></li>
<li><span class="yiyi-st" id="yiyi-1474">编码datetime.time的JSON支持</span></li>
<li><span class="yiyi-st" id="yiyi-1475">展开的JSON文档，关于orient选项的更多信息以及解码时使用numpy param。</span></li>
<li><span class="yiyi-st" id="yiyi-1476">将<code class="docutils literal"><span class="pre">drop_level</span></code>参数添加到xs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4180">GH4180</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1477">现在可以使用ohlc（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2320">GH2320</a>）重新取样DataFrame</span></li>
<li><span class="yiyi-st" id="yiyi-1478"><code class="docutils literal"><span class="pre">Index.copy()</span></code> and <code class="docutils literal"><span class="pre">MultiIndex.copy()</span></code> now accept keyword arguments to change attributes (i.e., <code class="docutils literal"><span class="pre">names</span></code>, <code class="docutils literal"><span class="pre">levels</span></code>, <code class="docutils literal"><span class="pre">labels</span></code>) (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4039">GH4039</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1479">Add <code class="docutils literal"><span class="pre">rename</span></code> and <code class="docutils literal"><span class="pre">set_names</span></code> methods to <code class="docutils literal"><span class="pre">Index</span></code> as well as <code class="docutils literal"><span class="pre">set_names</span></code>, <code class="docutils literal"><span class="pre">set_levels</span></code>, <code class="docutils literal"><span class="pre">set_labels</span></code> to <code class="docutils literal"><span class="pre">MultiIndex</span></code>. </span><span class="yiyi-st" id="yiyi-1480">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4039">GH4039</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4794">GH4794</a>）的改善的验证（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4039">GH4039</a></span></li>
<li><span class="yiyi-st" id="yiyi-1481">现在可以将系列的<code class="docutils literal"><span class="pre">timedelta64[ns]</span></code>除以/乘以整数系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4521">GH4521</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1482">现在可以将一系列dtype <code class="docutils literal"><span class="pre">timedelta64[ns]</span></code>除以另一个<code class="docutils literal"><span class="pre">timedelta64[ns]</span></code>对象，产生一个<code class="docutils literal"><span class="pre">float64</span></code></span><span class="yiyi-st" id="yiyi-1483">这是频率转换；也支持astyping。</span></li>
<li><span class="yiyi-st" id="yiyi-1484">Timedelta64支持<code class="docutils literal"><span class="pre">fillna/ffill/bfill</span></code>整数解释为秒，或<code class="docutils literal"><span class="pre">timedelta</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3371">GH3371</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1485">在<code class="docutils literal"><span class="pre">timedelta</span></code>系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4984">GH4984</a>）上的方框数字操作</span></li>
<li><span class="yiyi-st" id="yiyi-1486">Datetime64支持<code class="docutils literal"><span class="pre">ffill/bfill</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1487">当键为列时，<code class="docutils literal"><span class="pre">DataFrames</span></code>上的<code class="docutils literal"><span class="pre">__getitem__</span></code>提高性能</span></li>
<li><span class="yiyi-st" id="yiyi-1488">支持在类型计算中直接使用<code class="docutils literal"><span class="pre">DatetimeIndex/PeriodsIndex</span></code>。 s-s.index（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4629">GH4629</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1489">更好/清除核心/通用，io / excel和核心/格式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4721">GH4721</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3954">GH3954</a>）中的异常，以及清除tests / test_frame中的测试用例/ test_multilevel（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4732">GH4732</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1490">使用PeriodIndex进行时间图绘制的性能改进，并将测试添加到vbench（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4705">GH4705</a>和<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4722">GH4722</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1491">将<code class="docutils literal"><span class="pre">axis</span></code>和<code class="docutils literal"><span class="pre">level</span></code>关键字添加到<code class="docutils literal"><span class="pre">where</span></code>，以便<code class="docutils literal"><span class="pre">other</span></code>参数现在可以是可对齐的pandas对象。</span></li>
<li><span class="yiyi-st" id="yiyi-1492">格式为&apos;％Y％m％d&apos;的<code class="docutils literal"><span class="pre">to_datetime</span></code>现在解析速度更快</span></li>
<li><span class="yiyi-st" id="yiyi-1493">现在更容易将新的Excel编写器挂接到pandas（只是子类<code class="docutils literal"><span class="pre">ExcelWriter</span></code>并注册您的引擎）。</span><span class="yiyi-st" id="yiyi-1494">您可以在<code class="docutils literal"><span class="pre">to_excel</span></code>或<code class="docutils literal"><span class="pre">ExcelWriter</span></code>中指定<code class="docutils literal"><span class="pre">engine</span></code>。</span><span class="yiyi-st" id="yiyi-1495">您还可以使用config选项<code class="docutils literal"><span class="pre">io.excel.xlsx.writer</span></code>和<code class="docutils literal"><span class="pre">io.excel.xls.writer</span></code>来指定要使用的编写器。</span><span class="yiyi-st" id="yiyi-1496">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4745">GH4745</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4750">GH4750</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1497"><code class="docutils literal"><span class="pre">Panel.to_excel()</span></code>现在接受将传递到其<code class="docutils literal"><span class="pre">DataFrame</span></code>的<code class="docutils literal"><span class="pre">to_excel()</span></code>方法的关键字参数。</span><span class="yiyi-st" id="yiyi-1498">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4750">GH4750</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1499">将XlsxWriter添加为可选的<code class="docutils literal"><span class="pre">ExcelWriter</span></code>引擎。</span><span class="yiyi-st" id="yiyi-1500">这比默认的openpyxl xlsx写入器快约5倍，并且在速度上等同于xlwt xls写入器模块。</span><span class="yiyi-st" id="yiyi-1501">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4542">GH4542</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1502">允许DataFrame构造函数接受更多类似列表的对象，例如<code class="docutils literal"><span class="pre">collections.Sequence</span></code>和<code class="docutils literal"><span class="pre">array.Array</span></code>对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3783">GH3783</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4297">GH4297</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4851">GH4851  t6 &gt;），感谢@lgautier</a></span></li>
<li><span class="yiyi-st" id="yiyi-1503">DataFrame构造函数现在接受一个numpy掩码记录数组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3478">GH3478</a>），感谢@jnothman</span></li>
<li><span class="yiyi-st" id="yiyi-1504"><code class="docutils literal"><span class="pre">__getitem__</span></code> with <code class="docutils literal"><span class="pre">tuple</span></code> key (e.g., <code class="docutils literal"><span class="pre">[:,</span> <span class="pre">2]</span></code>) on <code class="docutils literal"><span class="pre">Series</span></code> without <code class="docutils literal"><span class="pre">MultiIndex</span></code> raises <code class="docutils literal"><span class="pre">ValueError</span></code> (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4759">GH4759</a>, <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4837">GH4837</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1505"><code class="docutils literal"><span class="pre">read_json</span></code>现在在字典包含错误键和<code class="docutils literal"><span class="pre">orient=&apos;split&apos;</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4730">GH4730）时引发（更多信息性的）<code class="docutils literal"><span class="pre">ValueError</span></code> t6&gt;，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4838">GH4838</a>）</a></span></li>
<li><span class="yiyi-st" id="yiyi-1506"><code class="docutils literal"><span class="pre">read_stata</span></code>现在接受Stata 13格式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4291">GH4291</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1507"><code class="docutils literal"><span class="pre">ExcelWriter</span></code>和<code class="docutils literal"><span class="pre">ExcelFile</span></code>可用作上下文管理器。</span><span class="yiyi-st" id="yiyi-1508">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3441">GH3441</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4933">GH4933</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1509"><code class="docutils literal"><span class="pre">pandas</span></code>现在使用两个不同版本的<code class="docutils literal"><span class="pre">statsmodels</span></code>（0.4.3和0.5.0）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4981">GH4981</a>）进行测试。</span></li>
<li><span class="yiyi-st" id="yiyi-1510">更好的<code class="docutils literal"><span class="pre">MultiIndex</span></code>（包括通过<code class="docutils literal"><span class="pre">repr</span></code>往返的能力）的字符串表示。</span><span class="yiyi-st" id="yiyi-1511">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3347">GH3347</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4935">GH4935</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1512">ExcelFile和read_excel都接受io（以前的path_or_buf）参数的xlrd.Book；这需要设置发动机。</span><span class="yiyi-st" id="yiyi-1513">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4961">GH4961</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1514"><code class="docutils literal"><span class="pre">concat</span></code>现在在传递的无法连接的对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4608">GH4608</a>）时会提供更多的信息错误消息。</span></li>
<li><span class="yiyi-st" id="yiyi-1515">将<code class="docutils literal"><span class="pre">halflife</span></code>选项添加到指数加权移动函数（PR <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4998">GH4998</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1516"><code class="docutils literal"><span class="pre">to_dict</span></code>现在将<code class="docutils literal"><span class="pre">records</span></code>视为可能的类型。</span><span class="yiyi-st" id="yiyi-1517">返回一个列键字典数组。</span><span class="yiyi-st" id="yiyi-1518">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4936">GH4936</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1519"><code class="docutils literal"><span class="pre">tz_localize</span></code>可以基于非本地化数据的结构（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4230">GH4230</a>）推断秋天夏令时转换</span></li>
<li><span class="yiyi-st" id="yiyi-1520">DatetimeIndex现在在API文档中</span></li>
<li><span class="yiyi-st" id="yiyi-1521">改进将R数据集转换为pandas对象的支持（更多信息性索引用于时间序列和数字，支持因子，dist和高维数组）。</span></li>
<li><span class="yiyi-st" id="yiyi-1522"><a class="reference internal" href="generated/pandas.read_html.html#pandas.read_html" title="pandas.read_html"><code class="xref py py-func docutils literal"><span class="pre">read_html()</span></code></a>现在支持<code class="docutils literal"><span class="pre">parse_dates</span></code>，<code class="docutils literal"><span class="pre">tupleize_cols</span></code>和<code class="docutils literal"><span class="pre">thousands</span></code>参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4770">GH4770</a>） 。</span></li>
<li><span class="yiyi-st" id="yiyi-1523"><a class="reference internal" href="generated/pandas.io.json.json_normalize.html#pandas.io.json.json_normalize" title="pandas.io.json.json_normalize"><code class="xref py py-meth docutils literal"><span class="pre">json_normalize()</span></code></a>是一种新方法，允许您从半结构化JSON数据创建平面表。</span><span class="yiyi-st" id="yiyi-1524"><a class="reference internal" href="io.html#io-json-normalize"><span class="std std-ref">See the docs</span></a>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1067">GH1067</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1525"><code class="docutils literal"><span class="pre">DataFrame.from_records()</span></code>现在将接受生成器（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4910">GH4910</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1526"><code class="docutils literal"><span class="pre">DataFrame.interpolate()</span></code>和<code class="docutils literal"><span class="pre">Series.interpolate()</span></code>已扩展为包括来自scipy的插值方法。</span><span class="yiyi-st" id="yiyi-1527">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4434">GH4434</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1892">GH1892</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1528"><code class="docutils literal"><span class="pre">Series</span></code>现在支持<code class="docutils literal"><span class="pre">to_frame</span></code>方法将其转换为单列DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5164">GH5164</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1529">现在可以使用<code class="docutils literal"><span class="pre">closed</span></code>参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4579">GH4579</a>）以向左或向右打开的方式构造DatetimeIndex（和date_range）</span></li>
<li><span class="yiyi-st" id="yiyi-1530">Python csv解析器现在支持usecols（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4335">GH4335</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1531">添加了对支持v2 ID的Google Analytics（分析）v3 API细分ID的支持。</span><span class="yiyi-st" id="yiyi-1532">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5271">GH5271</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1533"><code class="docutils literal"><span class="pre">NDFrame.drop()</span></code>现在接受轴参数的名称以及整数。</span><span class="yiyi-st" id="yiyi-1534">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5354">GH5354</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1535">为一些缺少它们的方法添加了很多文档字符串+修复了Panel flex方法的docstrings。</span><span class="yiyi-st" id="yiyi-1536">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5336">GH5336</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1537"><code class="docutils literal"><span class="pre">NDFrame.drop()</span></code>，<code class="docutils literal"><span class="pre">NDFrame.dropna()</span></code>和<code class="docutils literal"><span class="pre">.drop_duplicates()</span></code>全部接受<code class="docutils literal"><span class="pre">inplace</span></code></span><span class="yiyi-st" id="yiyi-1538">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1960">GH1960</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5247">GH5247</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5628">GH5628</a>和相关<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2325">GH2325</a></span></li>
<li><span class="yiyi-st" id="yiyi-1539">修正<cite>tools.plotting.andrews_curvres</cite>中的错误，以便按照预期按颜色绘制线条。</span></li>
<li><span class="yiyi-st" id="yiyi-1540"><code class="docutils literal"><span class="pre">read_excel()</span></code>现在尝试将默认情况下将整数浮点数（如<code class="docutils literal"><span class="pre">1.0</span></code>）转换为int。</span><span class="yiyi-st" id="yiyi-1541">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5394">GH5394</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1542">Excel编写器现在在<code class="docutils literal"><span class="pre">to_excel()</span></code>中具有默认选项<code class="docutils literal"><span class="pre">merge_cells</span></code>，以合并MultiIndex和Hierarchical Rows中的单元格。</span><span class="yiyi-st" id="yiyi-1543">注意：使用此选项，不再可能使用合并的MultiIndex和分层行舍入Excel文件。</span><span class="yiyi-st" id="yiyi-1544">将<code class="docutils literal"><span class="pre">merge_cells</span></code>设置为<code class="docutils literal"><span class="pre">False</span></code>以恢复先前的行为。</span><span class="yiyi-st" id="yiyi-1545">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5254">GH5254</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1546">FRED DataReader现在接受多个系列（：issue`3413`）</span></li>
<li><span class="yiyi-st" id="yiyi-1547">StataWriter将变量名称调整为Stata的限制（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5709">GH5709</a>）</span></li>
</ul>
</div>
<div class="section" id="id18">
<h3><span class="yiyi-st" id="yiyi-1548">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1549"><code class="docutils literal"><span class="pre">DataFrame.reindex()</span></code>和向前/向后填充现在在任一索引不是单调的（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4483">GH4483</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4484">GH4484</a>）时引发ValueError。</span></li>
<li><span class="yiyi-st" id="yiyi-1550"><code class="docutils literal"><span class="pre">pandas</span></code>现在是Python 2/3兼容，而不需要2to3感谢@jtratner。</span><span class="yiyi-st" id="yiyi-1551">因此，pandas现在更广泛地使用迭代器。</span><span class="yiyi-st" id="yiyi-1552">这也导致本杰明&#xB7;彼得森的<code class="docutils literal"><span class="pre">six</span></code>图书馆的实质性部分被引入compat。</span><span class="yiyi-st" id="yiyi-1553">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4384">GH4384</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4375">GH4375</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4372">GH4372</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1554"><code class="docutils literal"><span class="pre">pandas.util.compat</span></code>和<code class="docutils literal"><span class="pre">pandas.util.py3compat</span></code>已合并到<code class="docutils literal"><span class="pre">pandas.compat</span></code>中。</span><span class="yiyi-st" id="yiyi-1555"><code class="docutils literal"><span class="pre">pandas.compat</span></code>现在包括许多允许2/3兼容性的功能。</span><span class="yiyi-st" id="yiyi-1556">它包含range，filter，map和zip的列表和迭代器版本，以及Python 3兼容性的其他必要元素。</span><span class="yiyi-st" id="yiyi-1557"><code class="docutils literal"><span class="pre">lmap</span></code>, <code class="docutils literal"><span class="pre">lzip</span></code>, <code class="docutils literal"><span class="pre">lrange</span></code> and <code class="docutils literal"><span class="pre">lfilter</span></code> all produce lists instead of iterators, for compatibility with <code class="docutils literal"><span class="pre">numpy</span></code>, subscripting and <code class="docutils literal"><span class="pre">pandas</span></code> constructors. </span><span class="yiyi-st" id="yiyi-1558">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4384">GH4384</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4375">GH4375</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4372">GH4372</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1559">不建议使用<code class="docutils literal"><span class="pre">iterkv</span></code>，它将在以后的版本中删除（只是用于修改<code class="docutils literal"><span class="pre">2to3</span></code>的iteritems的别名）。</span><span class="yiyi-st" id="yiyi-1560">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4384">GH4384</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4375">GH4375</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4372">GH4372</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1561">具有负索引器的<code class="docutils literal"><span class="pre">Series.get</span></code>现在返回与<code class="docutils literal"><span class="pre">[]</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4390">GH4390</a>）相同</span></li>
<li><span class="yiyi-st" id="yiyi-1562">允许系列/数据框架/面板在任何轴上设置<code class="docutils literal"><span class="pre">ix/loc</span></code>，即使单个键当前未包含在该轴的索引中（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2578">GH2578</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5226"> GH5226</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5632">GH5632</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5720">GH5720</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5744">GH5744</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5756">GH5756</a></span></li>
<li><span class="yiyi-st" id="yiyi-1563">对于compat（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3368">GH3368</a>），<code class="docutils literal"><span class="pre">to_clipboard</span></code>的默认导出为csv，其中sep为<cite>t</cite></span></li>
<li><span class="yiyi-st" id="yiyi-1564"><code class="docutils literal"><span class="pre">at</span></code>现在将放大对象inplace（并返回相同）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2578">GH2578</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1565"><code class="docutils literal"><span class="pre">DataFrame.plot</span></code>会通过传递<code class="docutils literal"><span class="pre">kind=&apos;scatter&apos;</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2215">GH2215</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1589"><code class="docutils literal"><span class="pre">HDFStore</span></code></span><ul>
<li><span class="yiyi-st" id="yiyi-1566"><code class="docutils literal"><span class="pre">append_to_multiple</span></code>自动同步将行写入多个表，并添加<code class="docutils literal"><span class="pre">dropna</span></code> kwarg（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4698">GH4698</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1567">以表格格式处理传递的<code class="docutils literal"><span class="pre">Series</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4330">GH4330</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1568">添加了<code class="docutils literal"><span class="pre">is_open</span></code>属性以指示底层文件是否处理is_open；关闭的商店现在将在查看商店时报告“关闭”（而不是引发错误）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4409">GH4409</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1569">关闭<code class="docutils literal"><span class="pre">HDFStore</span></code>现在将关闭<code class="docutils literal"><span class="pre">HDFStore</span></code>的实例，但只有在引用计数（由<code class="docutils literal"><span class="pre">PyTables</span></code>）w.r.t.时才会关闭实际文件。</span><span class="yiyi-st" id="yiyi-1570">所有打开的句柄都为0。</span><span class="yiyi-st" id="yiyi-1571">实质上，您有一个变量引用的<code class="docutils literal"><span class="pre">HDFStore</span></code>的本地实例。</span><span class="yiyi-st" id="yiyi-1572">一旦你关闭它，它会报告关闭。</span><span class="yiyi-st" id="yiyi-1573">其他引用（到同一文件）将继续操作，直到它们自己关闭。</span><span class="yiyi-st" id="yiyi-1574">对封闭文件执行操作会产生<code class="docutils literal"><span class="pre">ClosedFileError</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1575">删除<code class="docutils literal"><span class="pre">_quiet</span></code>属性，如果从表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4367">GH4367</a>）检索重复行，请替换为<code class="docutils literal"><span class="pre">DuplicateWarning</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1576">从<code class="docutils literal"><span class="pre">open</span></code>删除<code class="docutils literal"><span class="pre">warn</span></code>参数。</span><span class="yiyi-st" id="yiyi-1577">如果您尝试使用OPEN文件句柄（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4367">GH4367</a>）使用<code class="docutils literal"><span class="pre">mode=&apos;w&apos;</span></code>，则会引发<code class="docutils literal"><span class="pre">PossibleDataLossError</span></code>异常</span></li>
<li><span class="yiyi-st" id="yiyi-1578">allow a passed locations array or mask as a <code class="docutils literal"><span class="pre">where</span></code> condition (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4467">GH4467</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1579">将关键字<code class="docutils literal"><span class="pre">dropna=True</span></code>添加到<code class="docutils literal"><span class="pre">append</span></code>以更改是否所有的行都不写入商店（默认值为<code class="docutils literal"><span class="pre">True</span></code> NOT written），也可通过选项<code class="docutils literal"><span class="pre">io.hdf.dropna_table</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4625">GH4625</a>）设置</span></li>
<li><span class="yiyi-st" id="yiyi-1580"><code class="docutils literal"><span class="pre">format</span></code>关键字现在替换<code class="docutils literal"><span class="pre">table</span></code>关键字；允许的值为<code class="docutils literal"><span class="pre">fixed(f)|table(t)</span></code> <code class="docutils literal"><span class="pre">Storer</span></code>格式已重命名为<code class="docutils literal"><span class="pre">Fixed</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1581">将正确重建列多索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4710">GH4710</a>）；试图在同一个轴上使用带有data_columns的多索引</span></li>
<li><span class="yiyi-st" id="yiyi-1582"><code class="docutils literal"><span class="pre">select_as_coordinates</span></code>现在将返回结果选择集的<code class="docutils literal"><span class="pre">Int64Index</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1583">支持<code class="docutils literal"><span class="pre">timedelta64[ns]</span></code>为序列化类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3577">GH3577</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1584">存储<cite>datetime.date</cite>对象作为序数而不是timetuples以避免时区问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2852">GH2852</a>），感谢@tavistmorph和@numpand</span></li>
<li><span class="yiyi-st" id="yiyi-1585"><code class="docutils literal"><span class="pre">numexpr</span></code> 2.2.2修复PyTables 2.4中的不兼容性（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4908">GH4908</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1586"><code class="docutils literal"><span class="pre">flush</span></code>现在接受<code class="docutils literal"><span class="pre">fsync</span></code>参数，其默认为<code class="docutils literal"><span class="pre">False</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5364">GH5364</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1587"><code class="docutils literal"><span class="pre">table</span></code>格式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5386">GH5386</a>）不支持<code class="docutils literal"><span class="pre">unicode</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1588">传递商店创作论据；可以用于支持内存存储</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-1595"><code class="docutils literal"><span class="pre">JSON</span></code></span><ul>
<li><span class="yiyi-st" id="yiyi-1590">添加了<code class="docutils literal"><span class="pre">date_unit</span></code>参数以指定时间戳的解析。</span><span class="yiyi-st" id="yiyi-1591">选项包括秒，毫秒，微秒和纳秒。</span><span class="yiyi-st" id="yiyi-1592">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4362">GH4362</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4498">GH4498</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1593">添加了<code class="docutils literal"><span class="pre">default_handler</span></code>参数，允许传递可调用，负责处理其他不可访问的对象。</span><span class="yiyi-st" id="yiyi-1594">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5138">GH5138</a>）</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-1611"><code class="docutils literal"><span class="pre">Index</span></code>和<code class="docutils literal"><span class="pre">MultiIndex</span></code>更改（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4039">GH4039</a>）：</span><ul>
<li><span class="yiyi-st" id="yiyi-1596">直接在<code class="docutils literal"><span class="pre">MultiIndex</span></code>上直接设置<code class="docutils literal"><span class="pre">levels</span></code>和<code class="docutils literal"><span class="pre">labels</span></code>现已弃用。</span><span class="yiyi-st" id="yiyi-1597">相反，您可以使用<code class="docutils literal"><span class="pre">set_levels()</span></code>和<code class="docutils literal"><span class="pre">set_labels()</span></code>方法。</span></li>
<li><span class="yiyi-st" id="yiyi-1598"><code class="docutils literal"><span class="pre">levels</span></code>，<code class="docutils literal"><span class="pre">labels</span></code>和<code class="docutils literal"><span class="pre">names</span></code>属性不再返回列表，而是返回不允许设置项目的容器（&apos;mostly immutable&apos;）</span></li>
<li><span class="yiyi-st" id="yiyi-1599"><code class="docutils literal"><span class="pre">levels</span></code>，<code class="docutils literal"><span class="pre">labels</span></code>和<code class="docutils literal"><span class="pre">names</span></code>在设置时有效，复制或浅复制。</span></li>
<li><span class="yiyi-st" id="yiyi-1600">inplace设置<code class="docutils literal"><span class="pre">levels</span></code>或<code class="docutils literal"><span class="pre">labels</span></code>现在可正确无效缓存的属性。</span><span class="yiyi-st" id="yiyi-1601">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5238">GH5238</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1602"><code class="docutils literal"><span class="pre">__deepcopy__</span></code>现在返回数据的浅拷贝（当前：视图） - 允许元数据更改。</span></li>
<li><span class="yiyi-st" id="yiyi-1603"><code class="docutils literal"><span class="pre">MultiIndex.astype()</span></code>现在只允许<code class="docutils literal"><span class="pre">np.object_</span></code>类似dtypes，现在返回<code class="docutils literal"><span class="pre">MultiIndex</span></code>而不是<code class="docutils literal"><span class="pre">Index</span></code></span><span class="yiyi-st" id="yiyi-1604">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4039">GH4039</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1605">Added <code class="docutils literal"><span class="pre">is_</span></code> method to <code class="docutils literal"><span class="pre">Index</span></code> that allows fast equality comparison of views (similar to <code class="docutils literal"><span class="pre">np.may_share_memory</span></code> but no false positives, and changes on <code class="docutils literal"><span class="pre">levels</span></code> and <code class="docutils literal"><span class="pre">labels</span></code> setting on <code class="docutils literal"><span class="pre">MultiIndex</span></code>). </span><span class="yiyi-st" id="yiyi-1606">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4859">GH4859</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4909">GH4909</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1607">将<code class="docutils literal"><span class="pre">__iadd__</span></code>别名至<code class="docutils literal"><span class="pre">__add__</span></code>。</span><span class="yiyi-st" id="yiyi-1608">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4996">GH4996</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1609">Added <code class="docutils literal"><span class="pre">is_</span></code> method to <code class="docutils literal"><span class="pre">Index</span></code> that allows fast equality comparison of views (similar to <code class="docutils literal"><span class="pre">np.may_share_memory</span></code> but no false positives, and changes on <code class="docutils literal"><span class="pre">levels</span></code> and <code class="docutils literal"><span class="pre">labels</span></code> setting on <code class="docutils literal"><span class="pre">MultiIndex</span></code>). </span><span class="yiyi-st" id="yiyi-1610">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4859">GH4859</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4909">GH4909</a>）</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-1612">如果<code class="docutils literal"><span class="pre">downcast=&apos;infer&apos;</span></code>的转换和向下转换dtype传递到<code class="docutils literal"><span class="pre">fillna/ffill/bfill</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4604">GH4604</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1613"><code class="docutils literal"><span class="pre">__nonzero__</span></code>对于所有NDFrame对象，现在将生成<code class="docutils literal"><span class="pre">ValueError</span></code>，将回到（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1073">GH1073</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4633">GH4633</a>）行为。</span><span class="yiyi-st" id="yiyi-1614">将<code class="docutils literal"><span class="pre">.bool()</span></code>方法添加到<code class="docutils literal"><span class="pre">NDFrame</span></code>对象以方便评估单元素布尔系列</span></li>
<li><span class="yiyi-st" id="yiyi-1615"><code class="docutils literal"><span class="pre">DataFrame.update()</span></code>不再引发<code class="docutils literal"><span class="pre">DataConflictError</span></code>，它现在将引发一个<code class="docutils literal"><span class="pre">ValueError</span></code>（如有必要）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4732">GH4732 ）</a></span></li>
<li><span class="yiyi-st" id="yiyi-1616"><code class="docutils literal"><span class="pre">Series.isin()</span></code>和<code class="docutils literal"><span class="pre">DataFrame.isin()</span></code>现在在传递字符串（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4763">GH4763</a>）时引发<code class="docutils literal"><span class="pre">TypeError</span></code></span><span class="yiyi-st" id="yiyi-1617">传递一个元素（包含字符串）的<code class="docutils literal"><span class="pre">list</span></code>。</span></li>
<li><span class="yiyi-st" id="yiyi-1618">从<code class="docutils literal"><span class="pre">read_excel</span></code>和<code class="docutils literal"><span class="pre">ExcelFile</span></code>中删除未记录/未使用的<code class="docutils literal"><span class="pre">kind</span></code>关键字参数。</span><span class="yiyi-st" id="yiyi-1619">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4713">GH4713</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4712">GH4712</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1620"><code class="docutils literal"><span class="pre">NDFrame.replace()</span></code>的<code class="docutils literal"><span class="pre">method</span></code>参数再次有效，因此aa列表可以传递到<code class="docutils literal"><span class="pre">to_replace</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4743">GH4743 ）。</a></span></li>
<li><span class="yiyi-st" id="yiyi-1621">在_reduce操作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3371">GH3371</a>）上提供自动dtype转换</span></li>
<li><span class="yiyi-st" id="yiyi-1622">如果在_reduce操作中使用datelike的混合类型排除非数字（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3371">GH3371</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1623">对于<code class="docutils literal"><span class="pre">to_csv</span></code>和<code class="docutils literal"><span class="pre">read_csv</span></code>，<code class="docutils literal"><span class="pre">tupleize_cols</span></code>的默认值现在为<code class="docutils literal"><span class="pre">False</span></code>。</span><span class="yiyi-st" id="yiyi-1624">0.12（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3604">GH3604</a>）中的公平警告</span></li>
<li><span class="yiyi-st" id="yiyi-1625">移动timedeltas支持到pandas.tseries.timedeltas.py；添加timedeltas字符串解析，添加顶层<code class="docutils literal"><span class="pre">to_timedelta</span></code>函数</span></li>
<li><span class="yiyi-st" id="yiyi-1626"><code class="docutils literal"><span class="pre">NDFrame</span></code>现在与Python的toplevel <code class="docutils literal"><span class="pre">abs()</span></code>函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4821">GH4821</a>）兼容。</span></li>
<li><span class="yiyi-st" id="yiyi-1627">在Series / DataFrame（例如整数/日期时间）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4968">GH4968</a>）上的无效比较操作上产生<code class="docutils literal"><span class="pre">TypeError</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1628">添加了新的索引类型，<code class="docutils literal"><span class="pre">Float64Index</span></code>。</span><span class="yiyi-st" id="yiyi-1629">当在索引创建中传递浮动值时，将自动创建。</span><span class="yiyi-st" id="yiyi-1630">这使得纯标签的切片范例使<code class="docutils literal"><span class="pre">[],ix,loc</span></code>用于标量索引和切片工作完全相同。</span><span class="yiyi-st" id="yiyi-1631">保留其他索引类型的索引（并且<code class="docutils literal"><span class="pre">[],ix</span></code>）的位置回退，例外情况是，非<code class="docutils literal"><span class="pre">Float64Index</span></code>上的索引上的浮点切片将产生<code class="docutils literal"><span class="pre">TypeError</span></code>，例如<code class="docutils literal"><span class="pre">Series(range(5))[3.5:4.5]</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/263">GH263</a>，：issue：<cite>5375</cite>）</span></li>
<li><span class="yiyi-st" id="yiyi-1632">使分类代码更好（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4368">GH4368</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1633">删除弃用的<code class="docutils literal"><span class="pre">Factor</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3650">GH3650</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1634">移除已弃用的<code class="docutils literal"><span class="pre">set_printoptions/reset_printoptions</span></code>（：issue：<code class="docutils literal"><span class="pre">3046</span></code>）</span></li>
<li><span class="yiyi-st" id="yiyi-1635">删除已弃用的<code class="docutils literal"><span class="pre">_verbose_info</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3215">GH3215</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1636">开始删除在<code class="docutils literal"><span class="pre">GroupBy</span></code>对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4887">GH4887</a>）上无效的方法。</span></li>
<li><span class="yiyi-st" id="yiyi-1637">从<code class="docutils literal"><span class="pre">pandas.io.parsers</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3717">GH3717</a>）中删除已弃用的<code class="docutils literal"><span class="pre">read_clipboard/to_clipboard/ExcelFile/ExcelWriter</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1638">所有非索引NDFrames（<code class="docutils literal"><span class="pre">Series</span></code>，<code class="docutils literal"><span class="pre">DataFrame</span></code>，<code class="docutils literal"><span class="pre">Panel</span></code>，<code class="docutils literal"><span class="pre">Panel4D</span></code>，<code class="docutils literal"><span class="pre">SparsePanel</span></code> ，等等。</span><span class="yiyi-st" id="yiyi-1639">），现在支持整套算术运算符和算术flex方法（add，sub，mul等）。</span><span class="yiyi-st" id="yiyi-1640"><code class="docutils literal"><span class="pre">SparsePanel</span></code>不支持使用非标量的<code class="docutils literal"><span class="pre">pow</span></code>或<code class="docutils literal"><span class="pre">mod</span></code>。</span><span class="yiyi-st" id="yiyi-1641">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3765">GH3765</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1642">算术func工厂现在通过实名（适合使用super）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5240">GH5240</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1643">对于诸如<code class="docutils literal"><span class="pre">np.prod(pandas_object)</span></code>之类的调用约定，使用附加关键字args（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4435">GH4435</a>）为numpy调用提供numpy兼容性</span></li>
<li><span class="yiyi-st" id="yiyi-1644">提供__dir__方法（和本地上下文）为tab完成/删除ipython completers代码（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4501">GH4501</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1645">通过索引操作在面板中支持非唯一轴（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4960">GH4960</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1646"><code class="docutils literal"><span class="pre">.truncate</span></code> will raise a <code class="docutils literal"><span class="pre">ValueError</span></code> if invalid before and afters dates are given (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5242">GH5242</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1647"><code class="docutils literal"><span class="pre">Timestamp</span></code>现在支持<code class="docutils literal"><span class="pre">now/today/utcnow</span></code>类方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5339">GH5339</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1648">默认为<cite>display.max_seq_len</cite>现在是100，而不是<cite>无</cite>。</span><span class="yiyi-st" id="yiyi-1649">这在各个地方激活长序列的截断显示（“...”）。</span><span class="yiyi-st" id="yiyi-1650">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3391">GH3391</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1651"><strong>所有</strong>除以<code class="docutils literal"><span class="pre">NDFrame</span></code>  - 喜欢现在是truedivision，无论将来导入。</span><span class="yiyi-st" id="yiyi-1652">您可以使用<code class="docutils literal"><span class="pre">//</span></code>和<code class="docutils literal"><span class="pre">floordiv</span></code>进行整数除法。</span></li>
</ul>
<div class="highlight-ipython"><div class="highlight"><pre><span></span><span class="gp">In [3]: </span><span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">])</span>

<span class="gp">In [4]: </span><span class="n">arr2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">5</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>

<span class="gp">In [5]: </span><span class="n">arr</span> <span class="o">/</span> <span class="n">arr2</span>
<span class="gr">Out[5]: </span><span class="n">array</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">4</span><span class="p">])</span>

<span class="gp">In [6]: </span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">arr</span><span class="p">)</span> <span class="o">/</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">arr2</span><span class="p">)</span> <span class="c1"># no future import required</span>
<span class="go">Out[6]:</span>
<span class="go">0    0.200000</span>
<span class="go">1    0.666667</span>
<span class="go">2    1.500000</span>
<span class="go">3    4.000000</span>
<span class="go">dtype: float64</span>
</pre></div>
</div>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1653">检测到设置副本通过链接分配时，发出/警告<code class="docutils literal"><span class="pre">SettingWithCopyError/Warning</span></code>异常/警告，可通过选项<code class="docutils literal"><span class="pre">mode.chained_assignment</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1654">测试csv解析器中的<code class="docutils literal"><span class="pre">NA</span></code>值列表。</span><span class="yiyi-st" id="yiyi-1655">将<code class="docutils literal"><span class="pre">N/A</span></code>，<code class="docutils literal"><span class="pre">#NA</span></code>添加为独立的默认na值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5521">GH5521</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1656">涉及来自<code class="docutils literal"><span class="pre">NDFrame</span></code>的``Series``的重构打破了<code class="docutils literal"><span class="pre">rpy2&lt;=2.3.8</span></code></span><span class="yiyi-st" id="yiyi-1657">已针对rpy2打开了一个问题，并且在<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5698">GH5698</a>中详细说明了解决方法。</span><span class="yiyi-st" id="yiyi-1658">谢谢@JanSchulz。</span></li>
<li><span class="yiyi-st" id="yiyi-1659"><code class="docutils literal"><span class="pre">Series.argmin</span></code>和<code class="docutils literal"><span class="pre">Series.argmax</span></code>现在别名为<code class="docutils literal"><span class="pre">Series.idxmin</span></code>和<code class="docutils literal"><span class="pre">Series.idxmax</span></code>。</span><span class="yiyi-st" id="yiyi-1660">这些分别返回min或max元素的<em>索引</em>。</span><span class="yiyi-st" id="yiyi-1661">在0.13.0之前，这些将返回min / max元素的位置（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/6214">GH6214</a>）</span></li>
</ul>
</div>
<div class="section" id="internal-refactoring">
<h3><span class="yiyi-st" id="yiyi-1662">Internal Refactoring</span></h3>
<p><span class="yiyi-st" id="yiyi-1663">在0.13.0中有一个主要的重构，主要是从<code class="docutils literal"><span class="pre">NDFrame</span></code>子类化<code class="docutils literal"><span class="pre">Series</span></code>，这是当前<code class="docutils literal"><span class="pre">DataFrame</span></code>和<code class="docutils literal"><span class="pre">Panel</span></code>，统一方法和行为。</span><span class="yiyi-st" id="yiyi-1664">系列以前直接从<code class="docutils literal"><span class="pre">ndarray</span></code>子类化。</span><span class="yiyi-st" id="yiyi-1665">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4080">GH4080</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3862">GH3862</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/816">GH816</a>）参见<a class="reference internal" href="whatsnew.html#whatsnew-0130-refactoring"><span class="std std-ref">Internal Refactoring</span></a></span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1666">series.py/frame.py/panel.py的重构将常见代码移动到generic.py</span></li>
</ul>
<blockquote>
<div><ul class="simple">
<li><span class="yiyi-st" id="yiyi-1667">添加了<code class="docutils literal"><span class="pre">_setup_axes</span></code>以创建通用NDFrame结构</span></li>
<li><span class="yiyi-st" id="yiyi-1679">移动方法</span><ul>
<li><span class="yiyi-st" id="yiyi-1668"><code class="docutils literal"><span class="pre">from_axes</span></code>, <code class="docutils literal"><span class="pre">_wrap_array</span></code>, <code class="docutils literal"><span class="pre">axes</span></code>, <code class="docutils literal"><span class="pre">ix</span></code>, <code class="docutils literal"><span class="pre">loc</span></code>, <code class="docutils literal"><span class="pre">iloc</span></code>, <code class="docutils literal"><span class="pre">shape</span></code>, <code class="docutils literal"><span class="pre">empty</span></code>, <code class="docutils literal"><span class="pre">swapaxes</span></code>, <code class="docutils literal"><span class="pre">transpose</span></code>, <code class="docutils literal"><span class="pre">pop</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1669"><code class="docutils literal"><span class="pre">__iter__</span></code>，<code class="docutils literal"><span class="pre">keys</span></code>，<code class="docutils literal"><span class="pre">__contains__</span></code>，<code class="docutils literal"><span class="pre">__len__</span></code>，<code class="docutils literal"><span class="pre">__neg__</span></code>，<code class="docutils literal"><span class="pre">__invert__</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1670"><code class="docutils literal"><span class="pre">convert_objects</span></code>，<code class="docutils literal"><span class="pre">as_blocks</span></code>，<code class="docutils literal"><span class="pre">as_matrix</span></code>，<code class="docutils literal"><span class="pre">values</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1671"><code class="docutils literal"><span class="pre">__getstate__</span></code>，<code class="docutils literal"><span class="pre">__setstate__</span></code>（compat保留在框架/面板中）</span></li>
<li><span class="yiyi-st" id="yiyi-1672"><code class="docutils literal"><span class="pre">__getattr__</span></code>，<code class="docutils literal"><span class="pre">__setattr__</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1673"><code class="docutils literal"><span class="pre">_indexed_same</span></code>，<code class="docutils literal"><span class="pre">reindex_like</span></code>，<code class="docutils literal"><span class="pre">align</span></code>，<code class="docutils literal"><span class="pre">where</span></code>，<code class="docutils literal"><span class="pre">mask</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1674"><code class="docutils literal"><span class="pre">fillna</span></code>，<code class="docutils literal"><span class="pre">replace</span></code>（<code class="docutils literal"><span class="pre">Series</span></code> replace现在与<code class="docutils literal"><span class="pre">DataFrame</span></code>一致）</span></li>
<li><span class="yiyi-st" id="yiyi-1675"><code class="docutils literal"><span class="pre">filter</span></code>（也可以添加轴参数，以选择性地在不同的轴上进行过滤）</span></li>
<li><span class="yiyi-st" id="yiyi-1676"><code class="docutils literal"><span class="pre">reindex</span></code>，<code class="docutils literal"><span class="pre">reindex_axis</span></code>，<code class="docutils literal"><span class="pre">take</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1677"><code class="docutils literal"><span class="pre">truncate</span></code>（移动成为<code class="docutils literal"><span class="pre">NDFrame</span></code>的一部分）</span></li>
<li><span class="yiyi-st" id="yiyi-1678"><code class="docutils literal"><span class="pre">isnull/notnull</span></code>现在可在<code class="docutils literal"><span class="pre">NDFrame</span></code>物件上使用</span></li>
</ul>
</li>
</ul>
</div></blockquote>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1680">这些API更改使<code class="docutils literal"><span class="pre">Panel</span></code>与<code class="docutils literal"><span class="pre">DataFrame</span></code>更一致</span></li>
</ul>
<blockquote>
<div><ul class="simple">
<li><span class="yiyi-st" id="yiyi-1681"><code class="docutils literal"><span class="pre">Panel</span></code>上指定相同轴的<code class="docutils literal"><span class="pre">swapaxes</span></code>现在返回副本</span></li>
<li><span class="yiyi-st" id="yiyi-1682">支持属性访问设置</span></li>
<li><span class="yiyi-st" id="yiyi-1683"><code class="docutils literal"><span class="pre">filter</span></code>支持与原始<code class="docutils literal"><span class="pre">DataFrame</span></code>过滤器相同的API</span></li>
<li><span class="yiyi-st" id="yiyi-1684"><code class="docutils literal"><span class="pre">fillna</span></code>重构为<code class="docutils literal"><span class="pre">core/generic.py</span></code>，而&gt; 3ndim为<code class="docutils literal"><span class="pre">NotImplemented</span></code></span></li>
</ul>
</div></blockquote>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1685">系列现在继承自<code class="docutils literal"><span class="pre">NDFrame</span></code>，而不是直接从<code class="docutils literal"><span class="pre">ndarray</span></code>。</span><span class="yiyi-st" id="yiyi-1686">有几个影响API的细微更改。</span></li>
</ul>
<blockquote>
<div><ul class="simple">
<li><span class="yiyi-st" id="yiyi-1687">不支持数组接口的numpy函数现在返回<code class="docutils literal"><span class="pre">ndarrays</span></code>而不是系列，例如。 <code class="docutils literal"><span class="pre">np.diff</span></code>，<code class="docutils literal"><span class="pre">np.ones_like</span></code>，<code class="docutils literal"><span class="pre">np.where</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1688"><code class="docutils literal"><span class="pre">Series(0.5)</span></code>之前会返回标量<code class="docutils literal"><span class="pre">0.5</span></code>，不再支持</span></li>
<li><span class="yiyi-st" id="yiyi-1689"><code class="docutils literal"><span class="pre">TimeSeries</span></code>现在是<code class="docutils literal"><span class="pre">Series</span></code>的别名。</span><span class="yiyi-st" id="yiyi-1690">属性<code class="docutils literal"><span class="pre">is_time_series</span></code>可以用于区分（如果需要）</span></li>
</ul>
</div></blockquote>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1691">使用BlockManager的稀疏对象的重构</span></li>
</ul>
<blockquote>
<div><ul class="simple">
<li><span class="yiyi-st" id="yiyi-1692">在内部创建了一个新的块类型，<code class="docutils literal"><span class="pre">SparseBlock</span></code>，它可以容纳多个类型并且是不可合并的。</span><span class="yiyi-st" id="yiyi-1693"><code class="docutils literal"><span class="pre">SparseSeries</span></code>和<code class="docutils literal"><span class="pre">SparseDataFrame</span></code>现在从其中继承了更多的方法（Series / DataFrame），并且不再继承自<code class="docutils literal"><span class="pre">SparseArray</span></code> <code class="docutils literal"><span class="pre">SparseBlock</span></code>）</span></li>
<li><span class="yiyi-st" id="yiyi-1694">稀疏套件现在支持与非稀疏数据的集成。</span><span class="yiyi-st" id="yiyi-1695">非浮动稀疏数据是可支持的（部分实现）</span></li>
<li><span class="yiyi-st" id="yiyi-1696">对DataFrames中的稀疏结构的操作应当保留稀疏，合并类型操作将转换为密集（并且返回稀疏），因此可能有些低效</span></li>
<li><span class="yiyi-st" id="yiyi-1697">在<code class="docutils literal"><span class="pre">SparseSeries</span></code>上启用setitem以获取布尔值/整数/切片</span></li>
<li><span class="yiyi-st" id="yiyi-1698"><code class="docutils literal"><span class="pre">SparsePanels</span></code>实现未更改（例如，不使用BlockManager，需要工作）</span></li>
</ul>
</div></blockquote>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1699">将<code class="docutils literal"><span class="pre">ftypes</span></code>方法添加到Series / DataFame，类似于<code class="docutils literal"><span class="pre">dtypes</span></code>，但指示底层是稀疏/密集（以及dtype）</span></li>
<li><span class="yiyi-st" id="yiyi-1700">所有<code class="docutils literal"><span class="pre">NDFrame</span></code>对象现在都有一个<code class="docutils literal"><span class="pre">_prop_attributes</span></code>，可用于指示各种值传播到现有对象（例如<code class="docutils literal"><span class="pre">Series</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1701">内部类型检查现在通过一套生成的类来完成，允许<code class="docutils literal"><span class="pre">isinstance（value， t&gt; <span class="pre">klass）</span></span></code>，而不必直接导入klass，courtesy的@jtratner</span></li>
<li><span class="yiyi-st" id="yiyi-1702">系列更新中的错误，其中父框架未根据更改（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4080">GH4080</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5216">GH5216</a>）或类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3217">GH3217</a>），fillna <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3386">GH3386</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1703">将dtype转换的索引固定（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4463">GH4463</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4204">GH4204</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1704">重构<code class="docutils literal"><span class="pre">Series.reindex</span></code>到核心/ generic.py（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4604">GH4604</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4618">GH4618</a>），允许<code class="docutils literal"><span class="pre">method=</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1705"><code class="docutils literal"><span class="pre">Series.copy</span></code>不再接受<code class="docutils literal"><span class="pre">order</span></code>参数，现在与<code class="docutils literal"><span class="pre">NDFrame</span></code> copy</span></li>
<li><span class="yiyi-st" id="yiyi-1706">将<code class="docutils literal"><span class="pre">rename</span></code>方法重写为core / generic.py；修复<code class="docutils literal"><span class="pre">Series.rename</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4605">GH4605</a>），并为<code class="docutils literal"><span class="pre">Panel</span></code>添加<code class="docutils literal"><span class="pre">rename</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1707">系列（用于索引）/面板（用于项目）现在作为对其元素的属性访问（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1903">GH1903</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1708">将重构<code class="docutils literal"><span class="pre">clip</span></code>方法复制到core / generic.py（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4798">GH4798</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1709">重写<code class="docutils literal"><span class="pre">_get_numeric_data/_get_bool_data</span></code>到core / generic.py，允许系列/面板功能</span></li>
<li><span class="yiyi-st" id="yiyi-1710">具有时间对象的系列算术的重构（datetime / timedelta / time等）</span><span class="yiyi-st" id="yiyi-1711">进入一个单独的，清理包装类。</span><span class="yiyi-st" id="yiyi-1712">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4613">GH4613</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1713"><code class="docutils literal"><span class="pre">Series</span></code>与<code class="docutils literal"><span class="pre">ndarray</span></code>的复合相容。</span><span class="yiyi-st" id="yiyi-1714">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4819">GH4819</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1715">从代码库中删除了不必要的<code class="docutils literal"><span class="pre">rwproperty</span></code>，有利于内置属性。</span><span class="yiyi-st" id="yiyi-1716">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4843">GH4843</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1717">从对象级模块到<code class="docutils literal"><span class="pre">core/generic.py</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4435">GH4435</a>）的重构对象级别数字方法（平均值/ sum / min / max ...）。</span></li>
<li><span class="yiyi-st" id="yiyi-1718">重构暨对象核心/ generic.py（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4435">GH4435</a>），注意，这些有一个更numpy的函数签名。</span></li>
<li><span class="yiyi-st" id="yiyi-1719"><a class="reference internal" href="generated/pandas.read_html.html#pandas.read_html" title="pandas.read_html"><code class="xref py py-func docutils literal"><span class="pre">read_html()</span></code></a>现在使用<code class="docutils literal"><span class="pre">TextParser</span></code>来解析bs4 / lxml（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4770">GH4770</a>）中的HTML数据。</span></li>
<li><span class="yiyi-st" id="yiyi-1720">移除了<code class="docutils literal"><span class="pre">pandas/core/groupby.py</span></code>中的<code class="docutils literal"><span class="pre">keep_internal</span></code>关键字参数，因为它未被使用（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5102">GH5102</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1721">基本<code class="docutils literal"><span class="pre">DateOffsets</span></code>在导入pandas时不再被实例化，而是随时生成和缓存。</span><span class="yiyi-st" id="yiyi-1722">DateOffsets的内部表示和处理也已经澄清。</span><span class="yiyi-st" id="yiyi-1723">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5189">GH5189</a>，相关<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5004">GH5004</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1724"><code class="docutils literal"><span class="pre">MultiIndex</span></code>构造函数现在验证传递的级别和标签是否兼容。</span><span class="yiyi-st" id="yiyi-1725">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5213">GH5213</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5214">GH5214</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1726">Unity <code class="docutils literal"><span class="pre">dropna</span></code>用于Series / DataFrame签名（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5250">GH5250</a>），测试来自<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5234">GH5234</a>，由@rockg提供</span></li>
<li><span class="yiyi-st" id="yiyi-1727">重写assert_almost_equal()在cython的性能（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4398">GH4398</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1728">添加了内部<code class="docutils literal"><span class="pre">_update_inplace</span></code>方法，以方便更新inplace ops中的<code class="docutils literal"><span class="pre">NDFrame</span></code>包装器（仅为了方便调用者，实际上不会防止复制）。</span><span class="yiyi-st" id="yiyi-1729">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5247">GH5247</a>）</span></li>
</ul>
</div>
<div class="section" id="release-bug-fixes-0-13-0">
<span id="id19"></span><h3><span class="yiyi-st" id="yiyi-1730">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1742"><code class="docutils literal"><span class="pre">HDFStore</span></code></span><ul>
<li><span class="yiyi-st" id="yiyi-1731">在追加不同的块排序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4096">GH4096</a>）时产生无效的<code class="docutils literal"><span class="pre">TypeError</span></code>而不是<code class="docutils literal"><span class="pre">ValueError</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1732"><code class="docutils literal"><span class="pre">read_hdf</span></code>不符合传递<code class="docutils literal"><span class="pre">mode</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4504">GH4504</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1733">附加0-len表将正常工作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4273">GH4273</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1734"><code class="docutils literal"><span class="pre">to_hdf</span></code>在传递<code class="docutils literal"><span class="pre">append</span></code>和<code class="docutils literal"><span class="pre">table</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4584">GH4584</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1735">从具有跨dtype的重复列的商店读取将升高（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4767">GH4767</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1736">修正了当列名称不是字符串（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4956">GH4956</a>）时<code class="docutils literal"><span class="pre">ValueError</span></code>未正确引发的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1737">以固定格式写入的零长度系列未正确反序列化。</span><span class="yiyi-st" id="yiyi-1738">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4708">GH4708</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1739">修复了pyt3上的解码perf问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5441">GH5441</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1740">在存储之前验证多索引中的级别（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5527">GH5527</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1741">使用面板（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5717">GH5717</a>）正确处理<code class="docutils literal"><span class="pre">data_columns</span></code></span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-1743">修正了在tslib.tz_convert（vals，tz1，tz2）中的错误：它可能会引发IndexError异常，试图访问trans [pos + 1]（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4496">GH4496</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1744">The <code class="docutils literal"><span class="pre">by</span></code> argument now works correctly with the <code class="docutils literal"><span class="pre">layout</span></code> argument (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4102">GH4102</a>, <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4014">GH4014</a>) in <code class="docutils literal"><span class="pre">*.hist</span></code> plotting methods</span></li>
<li><span class="yiyi-st" id="yiyi-1745">修正<code class="docutils literal"><span class="pre">PeriodIndex.map</span></code>中的错误，其中使用<code class="docutils literal"><span class="pre">str</span></code>将返回索引的str表示形式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4136">GH4136</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1746">修复了使用自定义matplotlib默认颜色（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4345">GH4345</a>）时测试失败<code class="docutils literal"><span class="pre">test_time_series_plot_color_with_empty_kwargs</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1747">修复stata IO测试的运行。</span><span class="yiyi-st" id="yiyi-1748">现在使用临时文件写入（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4353">GH4353</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1749">修复了整数值框架（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4365">GH4365</a>）的<code class="docutils literal"><span class="pre">DataFrame.sum</span></code>慢于<code class="docutils literal"><span class="pre">DataFrame.mean</span></code>的问题</span></li>
<li><span class="yiyi-st" id="yiyi-1750"><code class="docutils literal"><span class="pre">read_html</span></code>测试现在可以使用Python 2.6（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4351">GH4351</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1751">修正<code class="docutils literal"><span class="pre">network</span></code>测试抛出<code class="docutils literal"><span class="pre">NameError</span></code>的错误，因为局部变量未定义（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4381">GH4381</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1752">在<code class="docutils literal"><span class="pre">to_json</span></code>中，如果由于重复的索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4359">GH4359</a>），传递的<code class="docutils literal"><span class="pre">orient</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1753">在<code class="docutils literal"><span class="pre">to_json</span></code>中，修复日期处理，因此毫秒是docstring说的默认时间戳（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4362">GH4362</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1754">进行groupby apply（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4648">GH4648</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3417">GH3417</a>）时不再忽略<code class="docutils literal"><span class="pre">as_index</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1755">JSON NaT处理固定，NaTs现在序列化为<cite>null</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4498">GH4498</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1756">固定JSON对象键中可转义字符的JSON处理（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4593">GH4593</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1757">固定传递<code class="docutils literal"><span class="pre">keep_default_na=False</span></code>时<code class="docutils literal"><span class="pre">na_values=None</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4318">GH4318</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1758">修正了<code class="docutils literal"><span class="pre">values</span></code>在具有重复列和混合dtyf的DataFrame上出现错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4377">GH4377</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1759">修正<code class="docutils literal"><span class="pre">orient=&apos;split&apos;</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4377">GH4377</a>）时，<code class="docutils literal"><span class="pre">read_json</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1760">固定的JSON错误，当编码/解码某些值时，带有“。”以外的十进制分隔符的语言环境会抛出异常。</span><span class="yiyi-st" id="yiyi-1761">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4918">GH4918</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1762">使用<code class="docutils literal"><span class="pre">PeriodIndex</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4390">GH4390</a>）修正<code class="docutils literal"><span class="pre">.iat</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1763">修复了<code class="docutils literal"><span class="pre">PeriodIndex</span></code>与self加入正在返回新实例而不是同一实例（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4379">GH4379</a>）的问题；还为其他索引类型添加了一个测试</span></li>
<li><span class="yiyi-st" id="yiyi-1764">修复了当使用带有usecols参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3192">GH3192</a>）的CSV cparser时，所有转换为对象的dtypes的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1765">修复合并块中的问题，其中生成的DataFrame已部分设置_ref_locs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4403">GH4403</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1766">修正了一个问题，当使用顶层matplotlib API（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4408">GH4408</a>）调用hist子图时，</span></li>
<li><span class="yiyi-st" id="yiyi-1767">修正了调用<code class="docutils literal"><span class="pre">Series.astype(str)</span></code>会截断字符串（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4405">GH4405</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4437">GH4437</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1768">修复了一个py3兼容问题，其中字节被表示为元组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4455">GH4455</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1769">固定面板属性命名冲突，如果项目命名为&apos;a&apos;（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3440">GH3440</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1770">修正了绘图时重复索引的问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4486">GH4486</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1771">修复了一个问题，其中cumsum和cumprod没有使用bool dtypes（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4170">GH4170</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4440">GH4440</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1772">在<code class="docutils literal"><span class="pre">xs</span></code>中发出的固定面板切片返回了不正确的暗淡对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4016">GH4016</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1773">修复重采样错误，如果只有一个组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3849">GH3849</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4494">GH4494</a>）不使用自定义缩减功能</span></li>
<li><span class="yiyi-st" id="yiyi-1774">带转置帧的固定面板分配（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3830">GH3830</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1775">使用面板和面板作为需要对齐的值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3777">GH3777</a>）设置索引</span></li>
<li><span class="yiyi-st" id="yiyi-1776">现在在<code class="docutils literal"><span class="pre">Series</span></code>构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4482">GH4482</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4480">GH4480</a>）中</span></li>
<li><span class="yiyi-st" id="yiyi-1777">修复了排序具有多个dtypes（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4516">GH4516</a>）的重复多索引的问题</span></li>
<li><span class="yiyi-st" id="yiyi-1778">修复<code class="docutils literal"><span class="pre">DataFrame.set_values</span></code>中的错误，导致在扩展索引时名称属性丢失。</span><span class="yiyi-st" id="yiyi-1779">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3742">GH3742</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4039">GH4039</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1780">Fixed issue where individual <code class="docutils literal"><span class="pre">names</span></code>, <code class="docutils literal"><span class="pre">levels</span></code> and <code class="docutils literal"><span class="pre">labels</span></code> could be set on <code class="docutils literal"><span class="pre">MultiIndex</span></code> without validation (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3714">GH3714</a>, <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4039">GH4039</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1781">在pivot_table中修正（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3334">GH3334</a>）。</span><span class="yiyi-st" id="yiyi-1782">边距不计算值是否为索引。</span></li>
<li><span class="yiyi-st" id="yiyi-1783">修正在使用数据时间（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4532">GH4532</a>）时具有<code class="docutils literal"><span class="pre">np.timedelta64</span></code>或<code class="docutils literal"><span class="pre">np.offsets.DateOffset</span></code>的rhs的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1784">修复与series / datetimeindex和<code class="docutils literal"><span class="pre">np.timedelta64</span></code>不兼容算法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4134">GH4134</a>）和buggy timedelta在numpy 1.6（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4135">GH4135</a></span></li>
<li><span class="yiyi-st" id="yiyi-1785">修复PY3（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4561">GH4561</a>）窗口中<code class="docutils literal"><span class="pre">pd.read_clipboard</span></code>中的错误无法正确解码</span></li>
<li><span class="yiyi-st" id="yiyi-1786"><code class="docutils literal"><span class="pre">tslib.get_period_field()</span></code>和<code class="docutils literal"><span class="pre">tslib.get_period_field_arr()</span></code>现在提高代码参数超出范围（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4519">GH4519</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4520">GH4520  t5 &gt;）</a></span></li>
<li><span class="yiyi-st" id="yiyi-1787">修复空序列上的布尔索引丢失索引名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4235">GH4235</a>），infer_dtype使用空数组。</span></li>
<li><span class="yiyi-st" id="yiyi-1788">修复多轴的重建索引；如果轴匹配不替换当前轴，导致可能的拉兹频率推理问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3317">GH3317</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1789">修复了<code class="docutils literal"><span class="pre">DataFrame.apply</span></code>不正确地重新处理异常（导致原始堆栈跟踪被截断）的问题。</span></li>
<li><span class="yiyi-st" id="yiyi-1790">Fix selection with <code class="docutils literal"><span class="pre">ix/loc</span></code> and non_unique selectors (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4619">GH4619</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1791">修复了在现有列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4312">GH4312</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5702">GH5702</a>）中涉及dtype更改的iloc / loc的分配在内核/索引中具有内部setitem_with_indexer，以使用Block.setitem</span></li>
<li><span class="yiyi-st" id="yiyi-1792">修正了在csv_import（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4322">GH4322</a>）中浮点数不正确处理数千个运算符的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1793">修复了一个问题，CacheableOffset没有正确地被许多DateOffset使用；这阻止了对DateOffset的缓存（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4609">GH4609</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1794">修复与lhs上的DataFrame的布尔比较，以及rhs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4576">GH4576</a>）上的列表/元组</span></li>
<li><span class="yiyi-st" id="yiyi-1795">在<code class="docutils literal"><span class="pre">Series/DataFrame</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4667">GH4667</a>）上使用setitem <code class="docutils literal"><span class="pre">None</span></code>修复错误/ dtype转换</span></li>
<li><span class="yiyi-st" id="yiyi-1796">根据<code class="docutils literal"><span class="pre">pd.read_stata</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4626">GH4626</a>）中传递的非默认编码解决解码问题</span></li>
<li><span class="yiyi-st" id="yiyi-1797">使用普通的<code class="docutils literal"><span class="pre">ndarray</span></code>修复<code class="docutils literal"><span class="pre">DataFrame.from_records</span></code>。</span><span class="yiyi-st" id="yiyi-1798">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4727">GH4727</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1799">解决与<code class="docutils literal"><span class="pre">Index.rename</span></code>和<code class="docutils literal"><span class="pre">MultiIndex.rename</span></code>等不一致的问题。</span><span class="yiyi-st" id="yiyi-1800">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4718">GH4718</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4628">GH4628</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1801">使用具有横截面和重复标记（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4726">GH4726</a>）的<code class="docutils literal"><span class="pre">iloc/loc</span></code>时出错</span></li>
<li><span class="yiyi-st" id="yiyi-1802">使用<code class="docutils literal"><span class="pre">QUOTE_NONE</span></code>并使用<code class="docutils literal"><span class="pre">to_csv</span></code>导致<code class="docutils literal"><span class="pre">Exception</span></code>，可能会出现错误。</span><span class="yiyi-st" id="yiyi-1803">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4328">GH4328</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1804">带有系列索引的错误，当右侧的长度不正确时不会出错（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2702">GH2702</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1805">在多索引中出现错误，部分字符串选择作为MultIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4758">GH4758</a>）的一部分</span></li>
<li><span class="yiyi-st" id="yiyi-1806">在带有非唯一索引的索引上重建索引的错误现在将引发<code class="docutils literal"><span class="pre">ValueError</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4746">GH4746</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1807">使用<code class="docutils literal"><span class="pre">loc/ix</span></code>设置具有多索引轴和numpy数组的单个索引器（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3777">GH3777</a>）时出错</span></li>
<li><span class="yiyi-st" id="yiyi-1808">错误连接的重复列跨dtypes不合并轴= 0（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4771">GH4771</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4975">GH4975</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1809">在<code class="docutils literal"><span class="pre">iloc</span></code>中错误切片索引失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4771">GH4771</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1810">不正确的错误消息，在<code class="docutils literal"><span class="pre">read_fwf</span></code>中没有colspecs或width。</span><span class="yiyi-st" id="yiyi-1811">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4774">GH4774</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1812">修复索引中重复索引的系列中的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4548">GH4548</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4550">GH4550</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1813">修正在Python 3中使用<code class="docutils literal"><span class="pre">read_fwf</span></code>读取压缩文件的错误。</span><span class="yiyi-st" id="yiyi-1814">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3963">GH3963</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1815">修复了重复索引和具有dtype更改的分配（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4686">GH4686</a>）的问题</span></li>
<li><span class="yiyi-st" id="yiyi-1816">修复了在Python 3中读取压缩文件为<code class="docutils literal"><span class="pre">bytes</span></code>而不是<code class="docutils literal"><span class="pre">str</span></code>的错误。</span><span class="yiyi-st" id="yiyi-1817">简化Python 3（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3963">GH3963</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4785">GH4785</a>）中产生字节的文件处理。</span></li>
<li><span class="yiyi-st" id="yiyi-1818">修正了一个与ticklocs / ticklabels相关的问题，在不同版本的matplotlib（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4789">GH4789</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1819">与repr()发出的内部调用相关联的抑制拒绝警告（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4391">GH4391</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1820">修复了重复索引和重复选择器（<code class="docutils literal"><span class="pre">.loc</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4825">GH4825</a>）的问题）</span></li>
<li><span class="yiyi-st" id="yiyi-1821">修复了<code class="docutils literal"><span class="pre">DataFrame.sort_index</span></code>的问题，其中，当通过单个列排序并传递<code class="docutils literal"><span class="pre">ascending</span></code>的列表时，<code class="docutils literal"><span class="pre">ascending</span></code>的参数被解释作为<code class="docutils literal"><span class="pre">True</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4839">GH4839</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4846">GH4846</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1822">固定<code class="docutils literal"><span class="pre">Panel.tshift</span></code>不工作。</span><span class="yiyi-st" id="yiyi-1823">添加了<cite>freq</cite>支持<code class="docutils literal"><span class="pre">Panel.shift</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4853">GH4853</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1824">使用千！！=“，”（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4596">GH4596</a>）修复了TextFileReader w / Python引擎（即PythonParser）中的问题</span></li>
<li><span class="yiyi-st" id="yiyi-1825">使用where（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4879">GH4879</a>）时，getitem中的错误重复索引</span></li>
<li><span class="yiyi-st" id="yiyi-1826">修复类型推理代码将float列强制转换为datetime（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4601">GH4601</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1827">固定<code class="docutils literal"><span class="pre">_ensure_numeric</span></code>不检查复数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4902">GH4902</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1828">修复了<code class="docutils literal"><span class="pre">Series.hist</span></code>中的一个错误，其中通过<code class="docutils literal"><span class="pre">by</span></code>参数创建了两个数字（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4112">GH4112</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4113">GH4113  t5 &gt;）。</a></span></li>
<li><span class="yiyi-st" id="yiyi-1829">修正了<code class="docutils literal"><span class="pre">convert_objects</span></code>中为&gt; 2 ndims（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4937">GH4937</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1830">修复了DataFrame / Panel缓存插入和后续索引中的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4939">GH4939</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5424">GH5424</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1831">修复<code class="docutils literal"><span class="pre">FrozenNDArray</span></code>和<code class="docutils literal"><span class="pre">FrozenList</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4929">GH4929</a>）的字符串方法</span></li>
<li><span class="yiyi-st" id="yiyi-1832">修正了在索引放大场景（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4940">GH4940</a>）中设置无效或超出范围值的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1833">空系列测试（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4346">GH4346</a>），感谢@immerrr</span></li>
<li><span class="yiyi-st" id="yiyi-1834">将<code class="docutils literal"><span class="pre">copy()</span></code>固定到浅复制轴/索引，从而保持单独的元数据。</span><span class="yiyi-st" id="yiyi-1835">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4202">GH4202</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4830">GH4830</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1836">在Python解析器中为read_csv（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4382">GH4382</a>）修复了跳过选项</span></li>
<li><span class="yiyi-st" id="yiyi-1837">修复阻止<code class="docutils literal"><span class="pre">cut</span></code>使用<code class="docutils literal"><span class="pre">np.inf</span></code>级别而未显式传递标签的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3415">GH3415</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1838">在<code class="docutils literal"><span class="pre">DatetimeIndex.union</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4564">GH4564</a>）中修复错误的重叠检查</span></li>
<li><span class="yiyi-st" id="yiyi-1839">修复了csv_parser（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4678">GH4678</a>）中的千位分隔符和日期解析器之间的冲突</span></li>
<li><span class="yiyi-st" id="yiyi-1840">修复附加在dtypes不一样（错误显示混合float / np.datetime64）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4993">GH4993</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1841">修复了DateOffset的repr。</span><span class="yiyi-st" id="yiyi-1842">不再在kwds中显示重复条目。</span><span class="yiyi-st" id="yiyi-1843">删除未使用的偏移字段。</span><span class="yiyi-st" id="yiyi-1844">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4638">GH4638</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1845">如果使用usecols，在read_csv期间修正错误的索引名称。</span><span class="yiyi-st" id="yiyi-1846">仅适用于c解析器。</span><span class="yiyi-st" id="yiyi-1847">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4201">GH4201</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1848"><code class="docutils literal"><span class="pre">Timestamp</span></code>对象现在可以出现在使用<code class="docutils literal"><span class="pre">Series</span></code>或<code class="docutils literal"><span class="pre">DataFrame</span></code>对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4982">GH4982</a> ）。</span></li>
<li><span class="yiyi-st" id="yiyi-1849">修复在通过<code class="docutils literal"><span class="pre">iloc/loc</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5016">GH5016</a>）通过<code class="docutils literal"><span class="pre">np.nan</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1850">修复了低内存c解析器可以在同一文件的不同块中创建不同类型的错误。</span><span class="yiyi-st" id="yiyi-1851">现在强制为数字类型或引发警告。</span><span class="yiyi-st" id="yiyi-1852">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3866">GH3866</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1853">修复了将<code class="docutils literal"><span class="pre">Series</span></code>重新塑造为其自身形状引起<code class="docutils literal"><span class="pre">TypeError</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4554">GH4554</a>）和其他重塑问题的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1854">使用<code class="docutils literal"><span class="pre">ix/loc</span></code>和混合int /字符串索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4544">GH4544</a>）设置错误</span></li>
<li><span class="yiyi-st" id="yiyi-1855">确保系列系列布尔比较是基于标签的（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4947">GH4947</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1856">在使用Timestamp部分索引器（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4294">GH4294</a>）的多级索引中出现错误</span></li>
<li><span class="yiyi-st" id="yiyi-1857">对全纳帧（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4078">GH4078</a>）的多索引构造的测试/修复</span></li>
<li><span class="yiyi-st" id="yiyi-1858">修复了<a class="reference internal" href="generated/pandas.read_html.html#pandas.read_html" title="pandas.read_html"><code class="xref py py-func docutils literal"><span class="pre">read_html()</span></code></a>无法使用逗号（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5029">GH5029</a>）正确推断表格值的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1859">修复了<a class="reference internal" href="generated/pandas.read_html.html#pandas.read_html" title="pandas.read_html"><code class="xref py py-func docutils literal"><span class="pre">read_html()</span></code></a>未提供返回表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4770">GH4770</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5029">GH5029</a>）的稳定排序的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1860">修复了<a class="reference internal" href="generated/pandas.read_html.html#pandas.read_html" title="pandas.read_html"><code class="xref py py-func docutils literal"><span class="pre">read_html()</span></code></a>在传递<code class="docutils literal"><span class="pre">index_col=0</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5066">GH5066</a>）时解析不正确的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1861">修复了<a class="reference internal" href="generated/pandas.read_html.html#pandas.read_html" title="pandas.read_html"><code class="xref py py-func docutils literal"><span class="pre">read_html()</span></code></a>错误地推断标题类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5048">GH5048</a>）的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1862">修复了<code class="docutils literal"><span class="pre">DatetimeIndex</span></code>与<code class="docutils literal"><span class="pre">PeriodIndex</span></code>联接导致堆栈溢出（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3899">GH3899</a>）的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1863">修复了<code class="docutils literal"><span class="pre">groupby</span></code>对象不允许绘图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5102">GH5102</a>）的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1864">修复了<code class="docutils literal"><span class="pre">groupby</span></code>对象不是制表符完成列名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5102">GH5102</a>）的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1865">修复了<code class="docutils literal"><span class="pre">groupby.plot()</span></code>和朋友多次重复图形（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5102">GH5102</a>）的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1866">提供自动转换<code class="docutils literal"><span class="pre">object</span></code>在fillna上的dtypes，相关（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5103">GH5103</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1867">修复了在选项解析器清理（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5121">GH5121</a>）中覆盖默认选项的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1868">将list / ndarray与list-like（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5006">GH5006</a>）相同地用于<code class="docutils literal"><span class="pre">iloc</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1869">修正缺少值的<code class="docutils literal"><span class="pre">MultiIndex.get_level_values()</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5074">GH5074</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1870">修复对datetime64输入（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4065">GH4065</a>）的Timestamp()的边界检查</span></li>
<li><span class="yiyi-st" id="yiyi-1871">修复<code class="docutils literal"><span class="pre">TestReadHtml</span></code>未调用正确的<code class="docutils literal"><span class="pre">read_html()</span></code>函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5150">GH5150</a>）的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1872">修复了使用正则表达式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5143">GH5143</a>）表示为（不正确）的<code class="docutils literal"><span class="pre">NDFrame.replace()</span></code>的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-1873">修正to_datetime（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4928">GH4928</a>）的错误讯息</span></li>
<li><span class="yiyi-st" id="yiyi-1874">确保在travis-ci（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4918">GH4918</a>）上测试不同的语言环境。</span><span class="yiyi-st" id="yiyi-1875">还添加了一些用于获取语言环境和使用上下文管理器设置语言环境的实用程序。</span></li>
<li><span class="yiyi-st" id="yiyi-1876">在<code class="docutils literal"><span class="pre">isnull(MultiIndex)</span></code>上修复了错误（现在出现错误）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5123">GH5123</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5125">GH5125</a></span></li>
<li><span class="yiyi-st" id="yiyi-1877">在执行对齐操作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5185">GH5185</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5639">GH5639</a>）时允许重复索引</span></li>
<li><span class="yiyi-st" id="yiyi-1878">构造函数中的复合类型引发<code class="docutils literal"><span class="pre">NotImplementedError</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5191">GH5191</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1879">比较重复帧（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4421">GH4421</a>）时出现错误</span></li>
<li><span class="yiyi-st" id="yiyi-1880">错误在重复帧描述</span></li>
<li><span class="yiyi-st" id="yiyi-1881">在<code class="docutils literal"><span class="pre">to_datetime</span></code>中出现格式错误，<code class="docutils literal"><span class="pre">coerce=True</span></code>不提高（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5195">GH5195</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1882">在<code class="docutils literal"><span class="pre">loc</span></code>中设置多个索引器和需要广播的系列的rhs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5206">GH5206</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1883">修正了<code class="docutils literal"><span class="pre">MultiIndex</span></code>上的级别或标签的内置设置不会清除缓存的<code class="docutils literal"><span class="pre">values</span></code>属性，因此返回错误的<code class="docutils literal"><span class="pre">values</span></code>的错误。</span><span class="yiyi-st" id="yiyi-1884">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5215">GH5215</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1885">修正了过滤分组的DataFrame或系列没有保持原始排序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4621">GH4621</a>）的问题。</span></li>
<li><span class="yiyi-st" id="yiyi-1886">固定<code class="docutils literal"><span class="pre">Period</span></code>，其业务日期为freq，以便在非营业日期总是前滚。</span><span class="yiyi-st" id="yiyi-1887">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5203">GH5203</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1888">修复了在Excel写作器中，具有重复列名称的框架未正确写入的错误。</span><span class="yiyi-st" id="yiyi-1889">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5235">GH5235</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1890">修复了<code class="docutils literal"><span class="pre">drop</span></code>的问题，以及系列上的非唯一索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5248">GH5248</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1891">C解析器中的固定seg故障是由于传递的文件名比列中的文件名多。</span><span class="yiyi-st" id="yiyi-1892">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5156">GH5156</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1893">修正<code class="docutils literal"><span class="pre">Series.isin</span></code>与日期/时间样dtypes（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5021">GH5021</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1894">C和Python Parser现在可以处理更常见的多索引列格式，它没有索引名称的行（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4702">GH4702</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1895">尝试使用超出边界日期作为对象dtype（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5312">GH5312</a>）时出现错误</span></li>
<li><span class="yiyi-st" id="yiyi-1896">尝试显示嵌入PandasObject（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5324">GH5324</a>）时出现错误</span></li>
<li><span class="yiyi-st" id="yiyi-1897">如果结果超出界限（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5312">GH5312</a>），则允许操作Timestamps返回日期时间</span></li>
<li><span class="yiyi-st" id="yiyi-1898">修复<code class="docutils literal"><span class="pre">initObjToJSON()</span></code>的返回值/类型签名以与numpy的<code class="docutils literal"><span class="pre">import_array()</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5334">GH5334</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5326">GH5326</a> ）</span></li>
<li><span class="yiyi-st" id="yiyi-1899">在重命名时，在DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5344">GH5344</a>）上设置set_index时出现错误</span></li>
<li><span class="yiyi-st" id="yiyi-1900">测试套件不再在测试图形时留下临时文件。</span><span class="yiyi-st" id="yiyi-1901">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5347">GH5347</a>）（感谢捕捉这个@yarikoptic！）</span></li>
<li><span class="yiyi-st" id="yiyi-1902">修复了win32上的html测试。</span><span class="yiyi-st" id="yiyi-1903">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4580">GH4580</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1904">确保<code class="docutils literal"><span class="pre">head/tail</span></code>基于<code class="docutils literal"><span class="pre">iloc</span></code>，（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5370">GH5370</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1905">修正<code class="docutils literal"><span class="pre">PeriodIndex</span></code>字符串表示的错误，如果有1或2个元素。</span><span class="yiyi-st" id="yiyi-1906">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5372">GH5372</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1907">GroupBy方法<code class="docutils literal"><span class="pre">transform</span></code>和<code class="docutils literal"><span class="pre">filter</span></code>可用于具有重复（非唯一）索引的Series和DataFrames。</span><span class="yiyi-st" id="yiyi-1908">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4620">GH4620</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1909">修复空白系列不在repr中打印名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4651">GH4651</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1910">默认情况下，使测试在temp目录中创建临时文件。</span><span class="yiyi-st" id="yiyi-1911">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5419">GH5419</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1912">标量的<code class="docutils literal"><span class="pre">pd.to_timedelta</span></code>返回标量（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5410">GH5410</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1913"><code class="docutils literal"><span class="pre">pd.to_timedelta</span></code>接受<code class="docutils literal"><span class="pre">NaN</span></code>和<code class="docutils literal"><span class="pre">NaT</span></code>，返回<code class="docutils literal"><span class="pre">NaT</span></code>而不是提高（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5437">GH5437</a> ）</span></li>
<li><span class="yiyi-st" id="yiyi-1914">对较大尺寸的熊猫对象的性能提升<code class="docutils literal"><span class="pre">isnull</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1915">修复了与索引器长度不匹配的1d ndarray的各种setitem（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5508">GH5508</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1916">在getitem中使用多索引和<code class="docutils literal"><span class="pre">iloc</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5528">GH5528</a>）中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1917">在系列上的缺陷错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5542">GH5542</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1918">使用自定义函数时未应用修正错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5545">GH5545</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1919">无法使用<code class="docutils literal"><span class="pre">loc</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5553">GH5553</a>）从非唯一索引中进行选择</span></li>
<li><span class="yiyi-st" id="yiyi-1920">当用户函数返回<code class="docutils literal"><span class="pre">None</span></code>，（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5592">GH5592</a>）时，groupby中的错误返回非一致类型</span></li>
<li><span class="yiyi-st" id="yiyi-1921">解决numpy 1.7.0中的回归，错误地从<code class="docutils literal"><span class="pre">ndarray.item</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5666">GH5666</a>）提高IndexError</span></li>
<li><span class="yiyi-st" id="yiyi-1922">在对结果非唯一索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5678">GH5678</a>）的对象重复索引时出错</span></li>
<li><span class="yiyi-st" id="yiyi-1923">在系列和通过的系列/ dict（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5703">GH5703</a>）中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-1924">使用类datetime变星的groupby变换中的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5712">GH5712</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1925">使用某些键（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5725">GH5725</a>）时，在PY3中的多索引选择中出错</span></li>
<li><span class="yiyi-st" id="yiyi-1926">在某些情况下（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5754">GH5754</a>）不同类型的逐行级联失败</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-12-0">
<h2><span class="yiyi-st" id="yiyi-1927">pandas 0.12.0</span></h2>
<p><span class="yiyi-st" id="yiyi-1928"><strong>发布日期：</strong> 2013-07-24</span></p>
<div class="section" id="id20">
<h3><span class="yiyi-st" id="yiyi-1929">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1930"><code class="docutils literal"><span class="pre">pd.read_html()</span></code>现在可以解析HTML字符串，文件或网址，并返回<code class="docutils literal"><span class="pre">DataFrame</span></code>的列表由@cpcloud提供。</span><span class="yiyi-st" id="yiyi-1931">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3477">GH3477</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3605">GH3605</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3606">GH3606</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1932">支持读取Amazon S3文件。</span><span class="yiyi-st" id="yiyi-1933">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3504">GH3504</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1934">添加了读取和写入JSON字符串/文件的模块：pandas.io.json包括<code class="docutils literal"><span class="pre">to_json</span></code> DataFrame / Series方法和<code class="docutils literal"><span class="pre">read_json</span></code>顶级读取器各种问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1226">GH1226</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3804">GH3804</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3876">GH3876</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3867">GH3867</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1305">GH1305</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1935">添加了用于读取和写入Stata文件的模块：pandas.io.stata（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1512">GH1512</a>）包括<code class="docutils literal"><span class="pre">to_stata</span></code> DataFrame方法和<code class="docutils literal"><span class="pre">read_stata</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-1936">添加了对在<code class="docutils literal"><span class="pre">to_csv</span></code>中写入并读入<code class="docutils literal"><span class="pre">read_csv</span></code>多索引列的支持。</span><span class="yiyi-st" id="yiyi-1937"><code class="docutils literal"><span class="pre">read_csv</span></code>中的<code class="docutils literal"><span class="pre">header</span></code>选项现在接受从中读取索引的行的列表。</span><span class="yiyi-st" id="yiyi-1938">添加了选项<code class="docutils literal"><span class="pre">tupleize_cols</span></code>以提供对通过元组列表写入和读取多索引列的前0.12行为的兼容性。</span><span class="yiyi-st" id="yiyi-1939">在0.12中的默认值是写入元组列表，并且<em>不</em>将元组列表解释为多索引列。</span><span class="yiyi-st" id="yiyi-1940">注意：默认值将更改为0.12，以使默认的<em>到</em>以新格式写入和读取多索引列。</span><span class="yiyi-st" id="yiyi-1941">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3571">GH3571</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1651">GH1651</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3141">GH3141</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1942">将迭代器添加到<code class="docutils literal"><span class="pre">Series.str</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3638">GH3638</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1943"><code class="docutils literal"><span class="pre">pd.set_option()</span></code>现在允许N个选项，值对（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3667">GH3667</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1944">为不同类型的scatter_matrix子图添加了关键字参数</span></li>
<li><span class="yiyi-st" id="yiyi-1945">分组的Series或DataFrames上的<code class="docutils literal"><span class="pre">filter</span></code>方法返回原始子集（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3680">GH3680</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/919">GH919</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1946">访问pandas.io.data中的历史Google财经数据（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3814">GH3814</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1947">DataFrame绘图方法可以通过<code class="docutils literal"><span class="pre">colormap</span></code>关键字从Matplotlib色彩映射采样列颜色。</span><span class="yiyi-st" id="yiyi-1948">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3860">GH3860  T0&gt;）</a></span></li>
</ul>
</div>
<div class="section" id="id21">
<h3><span class="yiyi-st" id="yiyi-1949">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1950">修复了内部打印代码的各种问题，包括TimeStamp和Index的各种对象的repr()现在生成有效的python代码字符串，并可用于重新创建对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3038">GH3038</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3379">GH3379 ，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3251">GH3251</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3460">GH3460</a>）</a></span></li>
<li><span class="yiyi-st" id="yiyi-1951"><code class="docutils literal"><span class="pre">convert_objects</span></code>现在接受<code class="docutils literal"><span class="pre">copy</span></code>参数（默认为<code class="docutils literal"><span class="pre">True</span></code>）</span></li>
<li><span class="yiyi-st" id="yiyi-1957"><code class="docutils literal"><span class="pre">HDFStore</span></code></span><ul>
<li><span class="yiyi-st" id="yiyi-1952">将在娱乐上保留索引属性（freq，tz，name）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3499">GH3499</a>，：issue：<cite>4098</cite>）</span></li>
<li><span class="yiyi-st" id="yiyi-1953">将以<code class="docutils literal"><span class="pre">AttributeConflictWarning</span></code>警告，如果您尝试以不同于现有频率的频率附加索引，或试图附加与现有索引不同的索引</span></li>
<li><span class="yiyi-st" id="yiyi-1954">支持带有时区的datelike列作为data_columns（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2852">GH2852</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1955">表写性能改进。</span></li>
<li><span class="yiyi-st" id="yiyi-1956">支持python3（通过<code class="docutils literal"><span class="pre">PyTables</span> <span class="pre">3.0.0</span></code>）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3750">GH3750</a>）</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-1958">将模运算符添加到Series，DataFrame</span></li>
<li><span class="yiyi-st" id="yiyi-1959">将<code class="docutils literal"><span class="pre">date</span></code>方法添加到DatetimeIndex</span></li>
<li><span class="yiyi-st" id="yiyi-1960">将<code class="docutils literal"><span class="pre">dropna</span></code>参数添加到pivot_table（：issue：<cite>3820</cite>）</span></li>
<li><span class="yiyi-st" id="yiyi-1961">简化API并将describe方法添加到Categorical</span></li>
<li><span class="yiyi-st" id="yiyi-1962"><code class="docutils literal"><span class="pre">melt</span></code>现在接受可选参数<code class="docutils literal"><span class="pre">var_name</span></code>和<code class="docutils literal"><span class="pre">value_name</span></code>以指定返回的DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3649">GH3649</a>）的自定义列名称，感谢@hoechenberger。</span><span class="yiyi-st" id="yiyi-1963">如果未指定<code class="docutils literal"><span class="pre">var_name</span></code>且<code class="docutils literal"><span class="pre">dataframe.columns.name</span></code>不为None，那么将用作<code class="docutils literal"><span class="pre">var_name</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4144">GH4144 ）。</a></span><span class="yiyi-st" id="yiyi-1964">还支持MultiIndex列。</span></li>
<li><span class="yiyi-st" id="yiyi-1965">剪贴板函数使用pyperclip（Windows上没有依赖项，Linux提供的替代依赖项）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3837">GH3837</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-1966">如果关联对象的类型为<code class="docutils literal"><span class="pre">object</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1818">GH1818</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3572">GH3572），绘图函数现在在尝试绘制任何内容之前引发<code class="docutils literal"><span class="pre">TypeError</span></code> / t5&gt;，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3911">GH3911</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3912">GH3912</a>），但是如果可能，它们会尝试将对象数组转换为数字数组，以便您仍然可以绘制浮动。</a></span><span class="yiyi-st" id="yiyi-1967">这发生在任何绘图发生之前，消除任何虚假的图表出现。</span></li>
<li><span class="yiyi-st" id="yiyi-1968">添加常见问题部分repr显示选项，以帮助用户自定义他们的设置。</span></li>
<li><span class="yiyi-st" id="yiyi-1969"><code class="docutils literal"><span class="pre">where</span></code>导致块分裂的操作要快得多（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3733">GH3733</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1970">Series和DataFrame hist方法现在采用<code class="docutils literal"><span class="pre">figsize</span></code>参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3834">GH3834</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1971">DatetimeIndexes不再尝试在连接操作期间转换混合整数索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3877">GH3877</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1972">Add <code class="docutils literal"><span class="pre">unit</span></code> keyword to <code class="docutils literal"><span class="pre">Timestamp</span></code> and <code class="docutils literal"><span class="pre">to_datetime</span></code> to enable passing of integers or floats that are in an epoch unit of <code class="docutils literal"><span class="pre">D,</span> <span class="pre">s,</span> <span class="pre">ms,</span> <span class="pre">us,</span> <span class="pre">ns</span></code>, thanks @mtkini (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3969">GH3969</a>) (e.g. unix timestamps or epoch <code class="docutils literal"><span class="pre">s</span></code>, with fractional seconds allowed) (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3540">GH3540</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1973">DataFrame corr方法（spearman）现在被cythonized。</span></li>
<li><span class="yiyi-st" id="yiyi-1974">改进<code class="docutils literal"><span class="pre">network</span></code>测试装饰器捕获<code class="docutils literal"><span class="pre">IOError</span></code>（因此也<code class="docutils literal"><span class="pre">URLError</span></code>）。</span><span class="yiyi-st" id="yiyi-1975">添加了<code class="docutils literal"><span class="pre">with_connectivity_check</span></code>装饰器，以允许显式检查网站作为代理，以查看是否存在网络连接。</span><span class="yiyi-st" id="yiyi-1976">另外，新的<code class="docutils literal"><span class="pre">optional_args</span></code>装饰工厂。</span><span class="yiyi-st" id="yiyi-1977">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3910">GH3910</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3914">GH3914</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1978"><code class="docutils literal"><span class="pre">read_csv</span></code>现在会在文件不包含列时抛出更多的信息错误消息，例如，所有换行符</span></li>
<li><span class="yiyi-st" id="yiyi-1979">添加了<code class="docutils literal"><span class="pre">layout</span></code>关键字到DataFrame.hist()以获得更多可自定义布局（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4050">GH4050</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1980">Timestamp.min和Timestamp.max现在代表有效的Timestamp实例，而不是默认的datetime.min和datetime.max（感谢@SleepingPills）</span></li>
<li><span class="yiyi-st" id="yiyi-1981"><code class="docutils literal"><span class="pre">read_html</span></code>现在在没有找到表并且检测到BeautifulSoup == 4.2.0时发生（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4214">GH4214</a>）</span></li>
</ul>
</div>
<div class="section" id="id22">
<h3><span class="yiyi-st" id="yiyi-1982">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-1987"><code class="docutils literal"><span class="pre">HDFStore</span></code></span><ul>
<li><span class="yiyi-st" id="yiyi-1983">当删除对象时，如果键不是有效的商店对象，<code class="docutils literal"><span class="pre">remove(key)</span></code>会引发<code class="docutils literal"><span class="pre">KeyError</span></code>。</span></li>
<li><span class="yiyi-st" id="yiyi-1984">在传递<code class="docutils literal"><span class="pre">where</span></code>或<code class="docutils literal"><span class="pre">columns</span></code>上引发<code class="docutils literal"><span class="pre">TypeError</span></code>以使用Storer进行选择；这些是无效参数此时（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4189">GH4189</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1985">现在可以为<code class="docutils literal"><span class="pre">append/put</span></code>指定<code class="docutils literal"><span class="pre">encoding</span></code>选项以启用备用编码（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3750">GH3750</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1986">启用<code class="docutils literal"><span class="pre">iterator/chunksize</span></code>支持<code class="docutils literal"><span class="pre">read_hdf</span></code></span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-1988">（Multi）Index的repr()现在遵循display.max_seq_items而不是numpy阈值打印选项。</span><span class="yiyi-st" id="yiyi-1989">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3426">GH3426</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3466">GH3466</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1990">向read_table / csv添加了mangle_dupe_cols选项，允许用户控制旧版行为（A，A.1，A.2与A，A）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3468">GH3468</a>）注意：默认值将更改为0.12到“no mangle”行为，如果您的代码依赖此行为，请在调用中显式指定mangle_dupe_cols = True。</span></li>
<li><span class="yiyi-st" id="yiyi-1991">Do not allow astypes on <code class="docutils literal"><span class="pre">datetime64[ns]</span></code> except to <code class="docutils literal"><span class="pre">object</span></code>, and <code class="docutils literal"><span class="pre">timedelta64[ns]</span></code> to <code class="docutils literal"><span class="pre">object/int</span></code> (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3425">GH3425</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-1992"><code class="docutils literal"><span class="pre">datetime64</span></code> dtypes的行为相对于某些所谓的缩减操作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3726">GH3726</a>）已经改变。</span><span class="yiyi-st" id="yiyi-1993">The following operations now raise a <code class="docutils literal"><span class="pre">TypeError</span></code> when performed on a <code class="docutils literal"><span class="pre">Series</span></code> and return an <em>empty</em> <code class="docutils literal"><span class="pre">Series</span></code> when performed on a <code class="docutils literal"><span class="pre">DataFrame</span></code> similar to performing these operations on, for example, a <code class="docutils literal"><span class="pre">DataFrame</span></code> of <code class="docutils literal"><span class="pre">slice</span></code> objects: - sum, prod, mean, std, var, skew, kurt, corr, and cov</span></li>
<li><span class="yiyi-st" id="yiyi-1994">除非使用有效类型（例如，不能通过<code class="docutils literal"><span class="pre">datetime64[ms]</span></code>）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3423">GH3423</a>），否则不允许创建datetimelike / timedeltalike</span></li>
<li><span class="yiyi-st" id="yiyi-1995">如果组是唯一的，请将<code class="docutils literal"><span class="pre">squeeze</span></code>关键字添加到<code class="docutils literal"><span class="pre">groupby</span></code>以允许从DataFrame  - &gt; Series中减少。</span><span class="yiyi-st" id="yiyi-1996">从0.10.1回归，部分恢复（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2893">GH2893</a>）与（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3596">GH3596</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1997">在使用基于标签的索引器掩码的布尔索引时，在<code class="docutils literal"><span class="pre">iloc</span></code>上提高一个布尔系列，甚至带有整数标签，将提高。</span><span class="yiyi-st" id="yiyi-1998">由于<code class="docutils literal"><span class="pre">iloc</span></code>纯粹基于位置，所以系列上的标签不可对齐（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3631">GH3631</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-1999"><code class="docutils literal"><span class="pre">raise_on_error</span></code>选项绘制方法由<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3572">GH3572</a>消除，因此被删除。</span><span class="yiyi-st" id="yiyi-2000">当数据无法绘制或绘制的对象具有<code class="docutils literal"><span class="pre">object</span></code>的dtype时，绘图始终会提高。</span></li>
<li><span class="yiyi-st" id="yiyi-2001"><code class="docutils literal"><span class="pre">DataFrame.interpolate()</span></code>现已弃用。</span><span class="yiyi-st" id="yiyi-2002">Please use <code class="docutils literal"><span class="pre">DataFrame.fillna()</span></code> and <code class="docutils literal"><span class="pre">DataFrame.replace()</span></code> instead (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3582">GH3582</a>, <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3675">GH3675</a>, <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3676">GH3676</a>).</span></li>
<li><span class="yiyi-st" id="yiyi-2003"><code class="docutils literal"><span class="pre">DataFrame.replace()</span></code>的<code class="docutils literal"><span class="pre">method</span></code>和<code class="docutils literal"><span class="pre">axis</span></code>参数已弃用</span></li>
<li><span class="yiyi-st" id="yiyi-2004"><code class="docutils literal"><span class="pre">DataFrame.replace</span></code>的<code class="docutils literal"><span class="pre">infer_types</span></code>参数已删除，现在默认执行转换。</span><span class="yiyi-st" id="yiyi-2005">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3907">GH3907</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2006">deprecated display.height，display.width现在只是一个格式化选项不控制摘要的触发，类似</span></li>
<li><span class="yiyi-st" id="yiyi-2007">将<code class="docutils literal"><span class="pre">allow_duplicates</span></code>添加到<code class="docutils literal"><span class="pre">DataFrame.insert</span></code>以允许在<code class="docutils literal"><span class="pre">True</span></code>时插入重复的列，默认值为<code class="docutils literal"><span class="pre">False</span></code> （与0.12之前相同）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3679">GH3679</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2013">io API更改</span><ul>
<li><span class="yiyi-st" id="yiyi-2008">为i / o导入添加了<code class="docutils literal"><span class="pre">pandas.io.api</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2009">已删除<code class="docutils literal"><span class="pre">Excel</span></code>支持<code class="docutils literal"><span class="pre">pandas.io.excel</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2010">添加的顶层<code class="docutils literal"><span class="pre">pd.read_sql</span></code>和<code class="docutils literal"><span class="pre">to_sql</span></code> DataFrame方法</span></li>
<li><span class="yiyi-st" id="yiyi-2011">已删除<code class="docutils literal"><span class="pre">clipboard</span></code>支持<code class="docutils literal"><span class="pre">pandas.io.clipboard</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2012">replace top-level and instance methods <code class="docutils literal"><span class="pre">save</span></code> and <code class="docutils literal"><span class="pre">load</span></code> with top-level <code class="docutils literal"><span class="pre">read_pickle</span></code> and <code class="docutils literal"><span class="pre">to_pickle</span></code> instance method, <code class="docutils literal"><span class="pre">save</span></code> and <code class="docutils literal"><span class="pre">load</span></code> will give deprecation warning.</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-2014"><code class="docutils literal"><span class="pre">DataFrame.replace()</span></code>的<code class="docutils literal"><span class="pre">method</span></code>和<code class="docutils literal"><span class="pre">axis</span></code>参数已弃用</span></li>
<li><span class="yiyi-st" id="yiyi-2015">将FutureWarning设置为需要data_source，并在pandas.io选项中使用到期日替换年/月。</span><span class="yiyi-st" id="yiyi-2016">正在准备从Google添加选项数据（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3822">GH3822</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2017"><code class="docutils literal"><span class="pre">DataFrame.replace()</span></code>的<code class="docutils literal"><span class="pre">method</span></code>和<code class="docutils literal"><span class="pre">axis</span></code>参数已弃用</span></li>
<li><span class="yiyi-st" id="yiyi-2018">为<code class="docutils literal"><span class="pre">NDFrame</span></code>对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3691">GH3691</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3696">GH3696</a>）实施<code class="docutils literal"><span class="pre">__nonzero__</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2019">具有混合有符号和无符号dtypes的<code class="docutils literal"><span class="pre">as_matrix</span></code>将导致2​​ x无符号的lcd作为int，最大与<code class="docutils literal"><span class="pre">int64</span></code>，以避免精度问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3733">GH3733 ）</a></span></li>
<li><span class="yiyi-st" id="yiyi-2020"><code class="docutils literal"><span class="pre">read_csv/read_excel</span></code>提供的列表中的<code class="docutils literal"><span class="pre">na_values</span></code>将匹配字符串和数字版本。 <code class="docutils literal"><span class="pre">na_values=[&apos;99&apos;]</span></code>将匹配99列是否为int，float或string（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3611">GH3611</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2021"><code class="docutils literal"><span class="pre">read_html</span></code>现在在阅读时默认为<code class="docutils literal"><span class="pre">None</span></code>，当lxml无法解析时，返回<code class="docutils literal"><span class="pre">bs4</span></code> + <code class="docutils literal"><span class="pre">html5lib</span></code>。</span><span class="yiyi-st" id="yiyi-2022">直到成功为止的解析器列表也是有效的</span></li>
<li><span class="yiyi-st" id="yiyi-2023">to_datetime返回类型更多的一致性（给字符串/字符串输入数组）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3888">GH3888</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2024">内部<code class="docutils literal"><span class="pre">pandas</span></code>类层次结构已更改（略）。</span><span class="yiyi-st" id="yiyi-2025">The previous <code class="docutils literal"><span class="pre">PandasObject</span></code> now is called <code class="docutils literal"><span class="pre">PandasContainer</span></code> and a new <code class="docutils literal"><span class="pre">PandasObject</span></code> has become the baseclass for <code class="docutils literal"><span class="pre">PandasContainer</span></code> as well as <code class="docutils literal"><span class="pre">Index</span></code>, <code class="docutils literal"><span class="pre">Categorical</span></code>, <code class="docutils literal"><span class="pre">GroupBy</span></code>, <code class="docutils literal"><span class="pre">SparseList</span></code>, and <code class="docutils literal"><span class="pre">SparseArray</span></code> (+ their base classes). </span><span class="yiyi-st" id="yiyi-2026">目前，<code class="docutils literal"><span class="pre">PandasObject</span></code>提供字符串方法（从<code class="docutils literal"><span class="pre">StringMixin</span></code>）。</span><span class="yiyi-st" id="yiyi-2027">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4090">GH4090</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4092">GH4092</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2028">新<code class="docutils literal"><span class="pre">StringMixin</span></code>，给定一个<code class="docutils literal"><span class="pre">__unicode__</span></code>方法，获得python2和python3兼容的字符串方法（<code class="docutils literal"><span class="pre">__str__</span></code>，<code class="docutils literal"><span class="pre">__bytes__</span></code> ，和<code class="docutils literal"><span class="pre">__repr__</span></code>）。</span><span class="yiyi-st" id="yiyi-2029">加上字符串安全。</span><span class="yiyi-st" id="yiyi-2030">现在在整个熊猫图书馆的许多地方。</span><span class="yiyi-st" id="yiyi-2031">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4090">GH4090</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4092">GH4092</a>）</span></li>
</ul>
</div>
<div class="section" id="id23">
<h3><span class="yiyi-st" id="yiyi-2032">Experimental Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2033">添加了实验性<code class="docutils literal"><span class="pre">CustomBusinessDay</span></code>类，以支持<code class="docutils literal"><span class="pre">DateOffsets</span></code>和自定义假日日历和自定义周密码。</span><span class="yiyi-st" id="yiyi-2034">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2301">GH2301</a>）</span></li>
</ul>
</div>
<div class="section" id="id24">
<h3><span class="yiyi-st" id="yiyi-2035">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2036">修正了一个深奥的excel阅读错误，xlrd&gt; = 0.9.0现在需要excel支持。</span><span class="yiyi-st" id="yiyi-2037">应该提供python3支持（用于阅读），一直缺乏。</span><span class="yiyi-st" id="yiyi-2038">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3164">GH3164</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2039">Disallow系列构造函数调用MultiIndex导致segfault（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4187">GH4187</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2040">允许共享时区的日期范围的合并（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3491">GH3491</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2041">修正某些列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3437">GH3437</a>）中包含大量行和<code class="docutils literal"><span class="pre">NaT</span></code>的to_csv问题</span></li>
<li><span class="yiyi-st" id="yiyi-2042"><code class="docutils literal"><span class="pre">.loc</span></code>在传递整数列表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3449">GH3449</a>）时未提升</span></li>
<li><span class="yiyi-st" id="yiyi-2043">使用标签切片（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3448">GH3448</a>）时，无序的时间序列选择是错误的</span></li>
<li><span class="yiyi-st" id="yiyi-2044">在包含datetime64 [ns] dtypes（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3461">GH3461</a>）的列列表中修复排序</span></li>
<li><span class="yiyi-st" id="yiyi-2045">通过FRED获取的DataFrames现在处理&apos;。&apos;作为NaN。</span><span class="yiyi-st" id="yiyi-2046">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3469">GH3469</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2047">在DataFrame中修复回归，适用于axis = 1，对象未正确转换回基本类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3480">GH3480</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2048">修复在HDFStore中存储uint dtypes时出现的问题。</span><span class="yiyi-st" id="yiyi-2049">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3493">GH3493</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2066">非唯一索引支持已澄清（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3468">GH3468</a>）</span><ul>
<li><span class="yiyi-st" id="yiyi-2050">处理df.to_csv新旧的dupe列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3454">GH3454</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3457">GH3457</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2051">修复为DataFrame中的重复索引分配新索引失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3468">GH3468</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2052">修复具有重复索引的DataFrame的构造</span></li>
<li><span class="yiyi-st" id="yiyi-2053">ref_locs支持允许跨dtypes重复索引，允许iget支持总是找到索引（甚至跨dtypes）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2194">GH2194</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2054">在具有非唯一索引的DataFrame上应用映射现在起作用（删除警告）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2786">GH2786</a>），并修复（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3230">GH3230</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2055">修正to_csv以处理非唯一列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3495">GH3495</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2056">使用getitem重复索引将按正确顺序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3455">GH3455</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3457">GH3457</a>）返回项目，并处理缺少的元素，如唯一索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3561">GH3561</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2057">具有和空DataFrame.from_record的重复索引将返回正确的帧（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3562">GH3562</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2058">Concat生成非唯一列，当重复是跨dtypes是固定的（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3602">GH3602</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2059">通过<code class="docutils literal"><span class="pre">loc</span></code>和朋友固定（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3659">GH3659</a>）切片的非唯一索引</span></li>
<li><span class="yiyi-st" id="yiyi-2060">允许插入/删除非唯一列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3679">GH3679</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2061">扩展<code class="docutils literal"><span class="pre">reindex</span></code>以正确处理非唯一索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3679">GH3679</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2062"><code class="docutils literal"><span class="pre">DataFrame.itertuples()</span></code>现在可用于具有重复列名称的框架（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3873">GH3873</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2063">在通过<code class="docutils literal"><span class="pre">iloc</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4017">GH4017</a>）的非唯一索引中出现错误；为<code class="docutils literal"><span class="pre">reindex</span></code>添加了<code class="docutils literal"><span class="pre">takeable</span></code>参数，以进行基于位置的拍摄</span></li>
<li><span class="yiyi-st" id="yiyi-2064">通过<code class="docutils literal"><span class="pre">.ix/.loc</span></code>和<code class="docutils literal"><span class="pre">__getitem__</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4246">GH4246</a>）允许非唯一索引</span></li>
<li><span class="yiyi-st" id="yiyi-2065">使用<code class="docutils literal"><span class="pre">.ix/.loc</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4280">GH4280</a>）修复非唯一索引内存分配问题</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-2067">修正了在分配之前引用变量的空系列的groupby中的bug。</span><span class="yiyi-st" id="yiyi-2068">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3510">GH3510</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2069">允许在groupby中为非MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4014">GH4014</a>）使用索引名称</span></li>
<li><span class="yiyi-st" id="yiyi-2070">修正了对齐系列的混合框架分配错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3492">GH3492</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2071">从系列中选择月/季/年的固定错误不会在最后一天选择时间元素（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3546">GH3546</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2072">修复了df.to_html()（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3547">GH3547</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3553">GH3553</a>）中的一些MultiIndex渲染错误</span></li>
<li><span class="yiyi-st" id="yiyi-2073">正确转换系列中的np.datetime64对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3416">GH3416</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2074">在无效的datetime / timedelta操作上提升<code class="docutils literal"><span class="pre">TypeError</span></code>例如添加数据时间，多个timedelta x datetime</span></li>
<li><span class="yiyi-st" id="yiyi-2075">在datelike和timedelta操作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3100">GH3100</a>）上修复<code class="docutils literal"><span class="pre">.diff</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2076"><code class="docutils literal"><span class="pre">combine_first</span></code>在可能的情况下不会返回相同的dtype（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3552">GH3552</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2077">修正<code class="docutils literal"><span class="pre">Panel.transpose</span></code>引数别名（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3556">GH3556</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2078">在<code class="docutils literal"><span class="pre">PeriodIndex.take</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3579">GH3579</a>）中修正平台错误</span></li>
<li><span class="yiyi-st" id="yiyi-2079">固定在<code class="docutils literal"><span class="pre">combine_first</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3593">GH3593</a>）中的datetime64 [ns]</span></li>
<li><span class="yiyi-st" id="yiyi-2080">修复多索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3586">GH3586</a>）中<code class="docutils literal"><span class="pre">NaN</span></code>的reset_index中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2081">当<code class="docutils literal"><span class="pre">value</span></code>参数是<code class="docutils literal"><span class="pre">list</span></code>或<code class="docutils literal"><span class="pre">tuple</span></code>时，<code class="docutils literal"><span class="pre">fillna</span></code>方法现在产生<code class="docutils literal"><span class="pre">TypeError</span></code> 。</span></li>
<li><span class="yiyi-st" id="yiyi-2082">修正了选择时间序列而不是帧中的实际列名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3594">GH3594</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2083">使secondary_y正常工作（bar）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3598">GH3598</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2084">Fix modulo and integer division on Series,DataFrames to act similary to <code class="docutils literal"><span class="pre">float</span></code> dtypes to return <code class="docutils literal"><span class="pre">np.nan</span></code> or <code class="docutils literal"><span class="pre">np.inf</span></code> as appropriate (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3590">GH3590</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-2085">使用<code class="docutils literal"><span class="pre">as_index=False</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3610">GH3610</a>）修正groupby上的不正确dtype</span></li>
<li><span class="yiyi-st" id="yiyi-2086">修正<code class="docutils literal"><span class="pre">read_csv/read_excel</span></code>可正确编码相同的na_values，例如<code class="docutils literal"><span class="pre">na_values=[-999.0,-999]</span></code>失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3611">GH3611</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2087">在qtconsole中再次禁用HTML输出。</span><span class="yiyi-st" id="yiyi-2088">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3657">GH3657</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2089">重新编写新的repr显示逻辑，用户发现混乱。</span><span class="yiyi-st" id="yiyi-2090">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3663">GH3663</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2091">修复索引问题ndim&gt; = 3与<code class="docutils literal"><span class="pre">iloc</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3617">GH3617</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2092">当指定<code class="docutils literal"><span class="pre">parse_dates</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3062">GH3062</a>）时，正确解析<code class="docutils literal"><span class="pre">read_csv</span></code>中的嵌入式日期列（nan / NaT）为datetime64 [ns] dtype</span></li>
<li><span class="yiyi-st" id="yiyi-2093">修复在to_csv（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3624">GH3624</a>）之前无法合并</span></li>
<li><span class="yiyi-st" id="yiyi-2094">setitem在DataFrame中使用一个DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3626">GH3626</a>）或混合DataFrame和系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3668">GH3668</a>）修复对齐问题时，</span></li>
<li><span class="yiyi-st" id="yiyi-2095">修正无序DatetimeIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3601">GH3601</a>）的绘图</span></li>
<li><span class="yiyi-st" id="yiyi-2096"><code class="docutils literal"><span class="pre">sql.write_frame</span></code>在将单列写入sqlite（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3628">GH3628</a>）时失败，感谢@stonebig</span></li>
<li><span class="yiyi-st" id="yiyi-2097">在索引中修改<code class="docutils literal"><span class="pre">nan</span></code>的旋转（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3558">GH3558</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2098">修复bs4测试未安装时的运行情况（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3605">GH3605</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2099">修复html表的解析（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3606">GH3606</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2100"><code class="docutils literal"><span class="pre">read_html()</span></code>现在只允许一个后端：<code class="docutils literal"><span class="pre">html5lib</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3616">GH3616</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2101"><code class="docutils literal"><span class="pre">convert_objects</span></code>与<code class="docutils literal"><span class="pre">convert_dates=&apos;coerce&apos;</span></code>将一些单字母字符串解析为今天的日期</span></li>
<li><span class="yiyi-st" id="yiyi-2102"><code class="docutils literal"><span class="pre">DataFrame.from_records</span></code>不接受空重复列表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3682">GH3682</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2103"><code class="docutils literal"><span class="pre">DataFrame.to_csv</span></code>将会成功使用已弃用的选项<code class="docutils literal"><span class="pre">nanRep</span></code>，@tdsmith</span></li>
<li><span class="yiyi-st" id="yiyi-2104"><code class="docutils literal"><span class="pre">DataFrame.to_html</span></code>和<code class="docutils literal"><span class="pre">DataFrame.to_latex</span></code>现在接受第一个参数的路径（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3702">GH3702</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2105">使用r定界符和引号字段修复文件标记化错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3453">GH3453</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2106">Groupby转换，逐项不正确转换（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3740">GH3740</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2107">不正确地读取具有列规范（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3748">GH3748</a>）的HDFStore多索引帧</span></li>
<li><span class="yiyi-st" id="yiyi-2108"><code class="docutils literal"><span class="pre">read_html</span></code>现在可正确跳过测试（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3741">GH3741</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2109">PandasObjects在尝试散列时引发TypeError（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3882">GH3882</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2110">修复传递给concat的不是列表类型的不正确参数（例如concat（df1，df2））（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3481">GH3481</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2111">在传递<code class="docutils literal"><span class="pre">read_csv</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3795">GH3795</a>）中的<code class="docutils literal"><span class="pre">dtype=str</span></code>（或其他变量连字符串dtypes）时正确解析</span></li>
<li><span class="yiyi-st" id="yiyi-2112">修复使用<code class="docutils literal"><span class="pre">loc/ix</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3880">GH3880</a>）时传播的索引名称</span></li>
<li><span class="yiyi-st" id="yiyi-2113">修复groupby当应用自定义函数导致返回的DataFrame没有转换dtypes（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3911">GH3911</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2114">修复了在<code class="docutils literal"><span class="pre">to_replace</span></code>参数中编译的正则表达式中<code class="docutils literal"><span class="pre">DataFrame.replace</span></code>无效的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3907">GH3907</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2115">修复了安装了<code class="docutils literal"><span class="pre">numexpr</span></code>的Python 2.7中的<code class="docutils literal"><span class="pre">__truediv__</span></code>，以便在将至少包含10000个单元格的整数数组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3764">GH3764</a></span></li>
<li><span class="yiyi-st" id="yiyi-2116">使用未从时间索引中选择的秒分辨率的字符串索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3925">GH3925</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2117">如果<code class="docutils literal"><span class="pre">iterator=True</span></code>但没有指定<code class="docutils literal"><span class="pre">chunksize</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3967">GH3967</a>），csv解析器将无限循环，python解析器失败与<code class="docutils literal"><span class="pre">chunksize=1</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2118">修复使用<code class="docutils literal"><span class="pre">shift</span></code>时不传播的索引名称</span></li>
<li><span class="yiyi-st" id="yiyi-2119">固定dropna =使用多索引堆栈忽略False（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3997">GH3997</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2120">重命名MultiIndex列时固定列的平展数据DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4004">GH4004</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2121">修正datetime系列的<code class="docutils literal"><span class="pre">Series.clip</span></code>。</span><span class="yiyi-st" id="yiyi-2122">NA / NaN阈值现在将抛出ValueError（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3996">GH3996</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2123">修正了插入问题到DataFrame，重命名后（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4032">GH4032</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2124">固定测试问题，其中过多的套接字打开，因此导致连接重置问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3982">GH3982</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3985">GH3985</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4028">GH4028</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4054">GH4054 ）</a></span></li>
<li><span class="yiyi-st" id="yiyi-2125">在未检索符号但正在访问符号的情况下（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3982">GH3982</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3985">GH3985</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4028">GH4028</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4054">GH4054 ）</a></span></li>
<li><span class="yiyi-st" id="yiyi-2126"><code class="docutils literal"><span class="pre">Series.hist</span></code>现在将从当前环境中获取数字（如果没有通过）</span></li>
<li><span class="yiyi-st" id="yiyi-2127">修复了1xN DataFrame在1xN掩码（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4071">GH4071</a>）上出现的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2128">固定在python3下运行<code class="docutils literal"><span class="pre">tox</span></code>，其中pickle导入以不兼容的方式重写（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4062">GH4062</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4063">GH4063</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2129">修正了sharex和sharey没有传递给grouping_hist的bug（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4089">GH4089</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2130">修复由于磁盘上不同块排序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4096">GH4096</a>）而导致<code class="docutils literal"><span class="pre">HDFStore</span></code>无法附加的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2131">将不兼容的列插入帧时出现错误消息更好（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4107">GH4107</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2132">修正<code class="docutils literal"><span class="pre">DataFrame.replace</span></code>中的错误，其中当regex = False（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4115">GH4115</a>）时，不会迭代嵌套的字典</span></li>
<li><span class="yiyi-st" id="yiyi-2133">修正<code class="docutils literal"><span class="pre">convert_objects(convert_numeric=True)</span></code>中的错误，其中混合数字和对象系列/帧无法正确转换（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4119">GH4119</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2134">修正了多索引选择与列多索引和重复（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4145">GH4145</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4146">GH4146</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2135">修正在<code class="docutils literal"><span class="pre">to_datetime</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4152">GH4152</a>）中使用<code class="docutils literal"><span class="pre">format</span></code>参数时解析微秒的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2136">修正<code class="docutils literal"><span class="pre">PandasAutoDateLocator</span></code>中的错误<code class="docutils literal"><span class="pre">invert_xaxis</span></code>不正确触发<code class="docutils literal"><span class="pre">MilliSecondLocator</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3990">GH3990</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2137">修正<code class="docutils literal"><span class="pre">Series.where</span></code>中的错误，其中将单元素输入向量广播到序列的长度导致将输入内的值相乘（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4192">GH4192</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2138">修正了在matplotlib 1.1.1（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4215">GH4215</a>）的无效颜色映射上绘制的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2139">修正在<code class="docutils literal"><span class="pre">DataFrame.plot(kind=&apos;kde&apos;)</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4216">GH4216</a>）中显示的图例</span></li>
<li><span class="yiyi-st" id="yiyi-2140">修正索引片没有携带名称属性（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4226">GH4226</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2141">修正了在特定时区（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4229">GH4229</a>）中使用字符串数组初始化<code class="docutils literal"><span class="pre">DatetimeIndex</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2142">修正了html5lib未被正确跳过的问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4265">GH4265</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2143">修正get_data_famafrench未使用正确档案边缘的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/4281">GH4281</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-11-0">
<h2><span class="yiyi-st" id="yiyi-2144">pandas 0.11.0</span></h2>
<p><span class="yiyi-st" id="yiyi-2145"><strong>发布日期：</strong> 2013-04-22</span></p>
<div class="section" id="id25">
<h3><span class="yiyi-st" id="yiyi-2146">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2147">新文档部分，<code class="docutils literal"><span class="pre">10</span> <span class="pre">分钟</span> <span class="pre">到</span> <span class="pre">Pandas</span> </code></span></li>
<li><span class="yiyi-st" id="yiyi-2148">新文档部分，<code class="docutils literal"><span class="pre">Cookbook</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2149">允许混合的Dtypes（例如<code class="docutils literal"><span class="pre">float32/float64/int32/int16/int8</span></code>）在DataFrames中共存，并在操作中传播</span></li>
<li><span class="yiyi-st" id="yiyi-2150">添加函数到pandas.io.data用于从Yahoo!检索股票指数组件</span><span class="yiyi-st" id="yiyi-2151">金融（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2795">GH2795</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2152">支持使用时间对象进行切片（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2681">GH2681</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2153">添加<code class="docutils literal"><span class="pre">.iloc</span></code>属性，以支持严格整数索引，类似于<code class="docutils literal"><span class="pre">.ix</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2922">GH2922</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2154">添加了<code class="docutils literal"><span class="pre">.loc</span></code>属性，以支持严格的基于标签的索引，类似于<code class="docutils literal"><span class="pre">.ix</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3053">GH3053</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2155">添加了<code class="docutils literal"><span class="pre">.iat</span></code>属性，支持通过整数快速进行标量访问（替换<code class="docutils literal"><span class="pre">iget_value/iset_value</span></code>）</span></li>
<li><span class="yiyi-st" id="yiyi-2156">添加了<code class="docutils literal"><span class="pre">.at</span></code>属性，以支持通过标签进行快速标量访问（替换<code class="docutils literal"><span class="pre">get_value/set_value</span></code>）</span></li>
<li><span class="yiyi-st" id="yiyi-2157">将功能从<code class="docutils literal"><span class="pre">irow,icol,iget_value/iset_value</span></code>移至<code class="docutils literal"><span class="pre">.iloc</span></code>索引器（通过每个对象中的<code class="docutils literal"><span class="pre">_ixs</span></code>方法）</span></li>
<li><span class="yiyi-st" id="yiyi-2158">添加了对使用<code class="docutils literal"><span class="pre">numexpr</span></code>库的表达式求值的支持</span></li>
<li><span class="yiyi-st" id="yiyi-2159">添加<code class="docutils literal"><span class="pre">convert=boolean</span></code>到<code class="docutils literal"><span class="pre">take</span></code>例程将负索引翻译为正，默认为True</span></li>
<li><span class="yiyi-st" id="yiyi-2160">将to_series()方法添加到索引，以方便创建索引器（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3275">GH3275</a>）</span></li>
</ul>
</div>
<div class="section" id="id26">
<h3><span class="yiyi-st" id="yiyi-2161">Improvements to existing features</span></h3>
<ul>
<li><p class="first"><span class="yiyi-st" id="yiyi-2162">在某些情况下，将df.to_csv()的性能提高了10倍。</span><span class="yiyi-st" id="yiyi-2163">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3059">GH3059</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2164">将<code class="docutils literal"><span class="pre">blocks</span></code>属性添加到DataFrames，将dtypes的dict返回到均匀分类的DataFrames</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2165">添加关键字<code class="docutils literal"><span class="pre">convert_numeric</span></code>到<code class="docutils literal"><span class="pre">convert_objects()</span></code>尝试将对象dtypes转换为数字类型（默认值为False）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2166"><code class="docutils literal"><span class="pre">convert_objects</span></code>中的<code class="docutils literal"><span class="pre">convert_dates</span></code>现在可以是<code class="docutils literal"><span class="pre">coerce</span></code>，将返回一个datetime64 [ns] dtype，其中不可转换设置为<code class="docutils literal"><span class="pre">NaT</span></code></span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2167">默认情况下，系列打印输出包括dtype</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2168">优化内部重建索引例程（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2819">GH2819</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2867">GH2867</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2169"><code class="docutils literal"><span class="pre">describe_option()</span></code>现在报告选项的默认值和当前值。</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2170">将<code class="docutils literal"><span class="pre">format</span></code>选项添加到<code class="docutils literal"><span class="pre">pandas.to_datetime</span></code>，可以更快地转换可以使用datetime.strptime解析的字符串</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2171">为了兼容性，将<code class="docutils literal"><span class="pre">axes</span></code>属性添加到<code class="docutils literal"><span class="pre">Series</span></code></span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2172">为了兼容性，将<code class="docutils literal"><span class="pre">xs</span></code>函数添加到<code class="docutils literal"><span class="pre">Series</span></code></span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2173">在只有混合数字的框架中允许setitem（例如int和float），（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3037">GH3037</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2174"><code class="docutils literal"><span class="pre">HDFStore</span></code></span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2175">从商店提供点击属性访问<code class="docutils literal"><span class="pre">get</span></code>（例如store.df == store [&apos;df&apos;]）</span></li>
<li><span class="yiyi-st" id="yiyi-2176">New keywords <code class="docutils literal"><span class="pre">iterator=boolean</span></code>, and <code class="docutils literal"><span class="pre">chunksize=number_in_a_chunk</span></code> are provided to support iteration on <code class="docutils literal"><span class="pre">select</span></code> and <code class="docutils literal"><span class="pre">select_as_multiple</span></code> (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3076">GH3076</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-2177">support <code class="docutils literal"><span class="pre">read_hdf/to_hdf</span></code> API similar to <code class="docutils literal"><span class="pre">read_csv/to_csv</span></code> (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3222">GH3222</a>)</span></li>
</ul>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2178">添加<code class="docutils literal"><span class="pre">squeeze</span></code>方法可能从对象中删除长度1维度。</span></p>
<div class="highlight-ipython"><div class="highlight"><pre><span></span><span class="gp">In [1]: </span><span class="n">p</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Panel</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">4</span><span class="p">),</span><span class="n">items</span><span class="o">=</span><span class="p">[</span><span class="s1">&apos;ItemA&apos;</span><span class="p">,</span><span class="s1">&apos;ItemB&apos;</span><span class="p">,</span><span class="s1">&apos;ItemC&apos;</span><span class="p">],</span>
<span class="gp">   ...:</span>              <span class="n">major_axis</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="s1">&apos;20010102&apos;</span><span class="p">,</span><span class="n">periods</span><span class="o">=</span><span class="mi">4</span><span class="p">),</span>
<span class="gp">   ...:</span>              <span class="n">minor_axis</span><span class="o">=</span><span class="p">[</span><span class="s1">&apos;A&apos;</span><span class="p">,</span><span class="s1">&apos;B&apos;</span><span class="p">,</span><span class="s1">&apos;C&apos;</span><span class="p">,</span><span class="s1">&apos;D&apos;</span><span class="p">])</span>
<span class="gp">   ...:</span> 

<span class="gp">In [2]: </span><span class="n">p</span>
<span class="gr">Out[2]: </span>
<span class="go">&lt;class &apos;pandas.core.panel.Panel&apos;&gt;</span>
<span class="go">Dimensions: 3 (items) x 4 (major_axis) x 4 (minor_axis)</span>
<span class="go">Items axis: ItemA to ItemC</span>
<span class="go">Major_axis axis: 2001-01-02 00:00:00 to 2001-01-05 00:00:00</span>
<span class="go">Minor_axis axis: A to D</span>

<span class="gp">In [3]: </span><span class="n">p</span><span class="o">.</span><span class="n">reindex</span><span class="p">(</span><span class="n">items</span><span class="o">=</span><span class="p">[</span><span class="s1">&apos;ItemA&apos;</span><span class="p">])</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
<span class="gr">Out[3]: </span>
<span class="go">                   A         B         C         D</span>
<span class="go">2001-01-02  0.469112 -0.282863 -1.509059 -1.135632</span>
<span class="go">2001-01-03  1.212112 -0.173215  0.119209 -1.044236</span>
<span class="go">2001-01-04 -0.861849 -2.104569 -0.494929  1.071804</span>
<span class="go">2001-01-05  0.721555 -0.706771 -1.039575  0.271860</span>

<span class="gp">In [4]: </span><span class="n">p</span><span class="o">.</span><span class="n">reindex</span><span class="p">(</span><span class="n">items</span><span class="o">=</span><span class="p">[</span><span class="s1">&apos;ItemA&apos;</span><span class="p">],</span><span class="n">minor</span><span class="o">=</span><span class="p">[</span><span class="s1">&apos;B&apos;</span><span class="p">])</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
<span class="gr">Out[4]: </span>
<span class="go">2001-01-02   -0.282863</span>
<span class="go">2001-01-03   -0.173215</span>
<span class="go">2001-01-04   -2.104569</span>
<span class="go">2001-01-05   -0.706771</span>
<span class="go">Freq: D, Name: B, dtype: float64</span>
</pre></div>
</div>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2179">改进<code class="docutils literal"><span class="pre">pd.io.data.Options</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2758">GH2758</a>）中的Yahoo API访问</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2180">添加选项<cite>display.max_seq_items</cite>以控制打印每个序列打印的元素数量。</span><span class="yiyi-st" id="yiyi-2181">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2979">GH2979</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2182">添加选项<cite>display.chop_threshold</cite>以控制小数值的显示。</span><span class="yiyi-st" id="yiyi-2183">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2739">GH2739</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2184">添加选项<cite>display.max_info_rows</cite>以防止为1M以上的帧（可配置）的帧计算verbose_info。</span><span class="yiyi-st" id="yiyi-2185">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2807">GH2807</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2918">GH2918</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2186">value_counts()现在接受归一化直方图的“normalize”参数。</span><span class="yiyi-st" id="yiyi-2187">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2710">GH2710</a>）。</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2188">DataFrame.from_records现在不仅接受dicts，而且接受collections.Mapping ABC的任何实例。</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2189">允许通过具有类型索引的字符串在Series和DataFrames（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3070">GH3070</a>）中工作的选择语义</span></p>
<div class="highlight-ipython"><div class="highlight"><pre><span></span><span class="gp">In [5]: </span><span class="n">idx</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="s2">&quot;2001-10-1&quot;</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">freq</span><span class="o">=</span><span class="s1">&apos;M&apos;</span><span class="p">)</span>

<span class="gp">In [6]: </span><span class="n">ts</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">idx</span><span class="p">)),</span><span class="n">index</span><span class="o">=</span><span class="n">idx</span><span class="p">)</span>

<span class="gp">In [7]: </span><span class="n">ts</span><span class="p">[</span><span class="s1">&apos;2001&apos;</span><span class="p">]</span>
<span class="gr">Out[7]: </span>
<span class="go">2001-10-31    0.838796</span>
<span class="go">2001-11-30    0.897333</span>
<span class="go">2001-12-31    0.732592</span>
<span class="go">Freq: M, dtype: float64</span>

<span class="gp">In [8]: </span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">A</span> <span class="o">=</span> <span class="n">ts</span><span class="p">))</span>

<span class="gp">In [9]: </span><span class="n">df</span><span class="p">[</span><span class="s1">&apos;2001&apos;</span><span class="p">]</span>
<span class="gr">Out[9]: </span>
<span class="go">                   A</span>
<span class="go">2001-10-31  0.838796</span>
<span class="go">2001-11-30  0.897333</span>
<span class="go">2001-12-31  0.732592</span>
</pre></div>
</div>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2190">添加选项<cite>display.mpl_style</cite>为地块提供更时尚的视觉样式。</span><span class="yiyi-st" id="yiyi-2191">基于<a class="reference external" href="https://gist.github.com/huyng/816622">https://gist.github.com/huyng/816622</a>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3075">GH3075</a>）。</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2192">通过考虑数组的内存排序，提高了几个核心功能的性能。</span><span class="yiyi-st" id="yiyi-2193">感谢@stephenwlin（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3130">GH3130</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2194">改善groupby变换方法的性能（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2121">GH2121</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2195">处理“ragged”CSV文件在缺少字段的行中缺少尾部分隔符，同时还提供了列名的明确列表（因此解析器知道结果中需要多少列）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2981">GH2981</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2196">在混合数据框架上，允许在rhs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3216">GH3216</a>）上使用ndarray / DataFrame设置索引器</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2197">将布尔值视为整数（值1和0）用于数字运算。</span><span class="yiyi-st" id="yiyi-2198">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2641">GH2641</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2199">将<code class="docutils literal"><span class="pre">time</span></code>方法添加到DatetimeIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3180">GH3180</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2200">对于不够长的值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3223">GH3223</a>）使用Series.str [...]时，返回NA</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2201">在时间序列图中显示光标坐标信息（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1670">GH1670</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2202">to_html() now accepts an optional “escape” argument to control reserved HTML character escaping (enabled by default) and escapes <code class="docutils literal"><span class="pre">&amp;</span></code>, in addition to <code class="docutils literal"><span class="pre">&lt;</span></code> and <code class="docutils literal"><span class="pre">&gt;</span></code>. </span><span class="yiyi-st" id="yiyi-2203">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2919">GH2919</a>）</span></p>
</li>
</ul>
</div>
<div class="section" id="id27">
<h3><span class="yiyi-st" id="yiyi-2204">API Changes</span></h3>
<ul>
<li><p class="first"><span class="yiyi-st" id="yiyi-2205">不要自动上传指定的数字类型为<code class="docutils literal"><span class="pre">int64</span></code>或<code class="docutils literal"><span class="pre">float64</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/622">GH622</a>和<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/797">GH797</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2206">无论平台如何，列表和标量的DataFrame构造，没有dtype存在，将导致转换到<code class="docutils literal"><span class="pre">int64</span></code>或<code class="docutils literal"><span class="pre">float64</span></code>。</span><span class="yiyi-st" id="yiyi-2207">这不是API的明显变化，但注意到它。</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2208">保证Series / DataFrame的<code class="docutils literal"><span class="pre">convert_objects()</span></code>始终返回一个副本</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2209">groupby操作将尊重数字浮点型操作的数据类型（float32 / float64）；其他类型将被操作，并将尝试回到输入dtype（例如，如果一个int被传递，只要输出没有nans，那么将返回一个int）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2210">backfill / pad / take / diff / ohlc现在支持<code class="docutils literal"><span class="pre">float32/int16/int8</span></code>操作</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2211">块类型将根据需要在where / masking操作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2793">GH2793</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2212">系列现在将自动尝试根据传递的datetimelike对象（datetime / Timestamp）设置正确的dtype，</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2213">timedelta64在适当的情况下返回（例如Series  -  Series，当两者都是datetime64时）</span></li>
<li><span class="yiyi-st" id="yiyi-2214">混合数据时间和构造函数中的对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2751">GH2751</a>）将被正确转换</span></li>
<li><span class="yiyi-st" id="yiyi-2215">现在处理对数据对象的数据类型（以及对np.nan的NaT转换）</span></li>
<li><span class="yiyi-st" id="yiyi-2216">所有timedelta like对象将被正确地分配给<code class="docutils literal"><span class="pre">timedelta64</span></code>与混合的<code class="docutils literal"><span class="pre">NaN</span></code>和/或<code class="docutils literal"><span class="pre">NaT</span></code></span></li>
</ul>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2217">DataFrame.clip的参数与numpy和系列剪辑不一致（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2747">GH2747</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2218">util.testing.assert_frame_equal现在检查列和索引名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2964">GH2964</a>）</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2219">当传递无效形状时，构造函数将在失败时返回更多信息的ValueError</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2220">不要在GroupBy.agg（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3238">GH3238</a>）中禁止TypeError</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2221">当inplace = True（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1893">GH1893</a>）时，方法返回None</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2222"><code class="docutils literal"><span class="pre">HDFStore</span></code></span></p>
<blockquote>
<div><ul class="simple">
<li><span class="yiyi-st" id="yiyi-2223">添加方法<code class="docutils literal"><span class="pre">select_column</span></code>从表中选择单个列作为Series。</span></li>
<li><span class="yiyi-st" id="yiyi-2224">不建议使用<code class="docutils literal"><span class="pre">unique</span></code>方法，可以通过<code class="docutils literal"><span class="pre">select_column(key,column).unique()</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2225"><code class="docutils literal"><span class="pre">min_itemsize</span></code>参数现在将自动为传递的键创建data_columns</span></li>
</ul>
</div></blockquote>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2226">如果可能（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3283">GH3283</a>）向下转播，将<code class="docutils literal"><span class="pre">downcast</span></code>添加到<code class="docutils literal"><span class="pre">fillna</span></code></span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2227">引入选项<cite>display.height / width</cite>用于以字符显式指定终端高度/宽度。</span><span class="yiyi-st" id="yiyi-2228">已弃用的display.line_width，现在由display.width替换。</span><span class="yiyi-st" id="yiyi-2229">这些默认值对脚本也有效，因此除非禁用，以前非常宽的输出现在将作为“expand_repr”样式输出。</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2230">经过简短的调查，他们对每个人都错了，选项（包括display.max_rows）的各种默认值被修改。</span><span class="yiyi-st" id="yiyi-2231">现在在w = 80，h = 60。</span></p>
</li>
<li><p class="first"><span class="yiyi-st" id="yiyi-2232">IPython中的HTML repr输出qtconsole再次由选项<cite>display.notebook_repr_html</cite>控制，默认情况下为打开。</span></p>
</li>
</ul>
</div>
<div class="section" id="id28">
<h3><span class="yiyi-st" id="yiyi-2233">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2234">当填充<code class="docutils literal"><span class="pre">pad</span></code>或<code class="docutils literal"><span class="pre">backfill</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2778">GH2778</a>）时，修复空数据帧上的seg错误</span></li>
<li><span class="yiyi-st" id="yiyi-2235">处理数据类型对象的单元素数组（例如np.array（datetime（2001,1,1,0,0））），w / o dtype被传递</span></li>
<li><span class="yiyi-st" id="yiyi-2236">具有传递的dtype的0-dim ndarray被正确地处理（例如np.array（0.，dtype =&apos;float32&apos;））</span></li>
<li><span class="yiyi-st" id="yiyi-2237">修复系列中的一些布尔索引不一致.__ getitem __ / __ setitem__（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2776">GH2776</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2238">使用溢出<code class="docutils literal"><span class="pre">int64</span></code>的整数和一些混合类型列表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2845">GH2845</a>）修复DataFrame和Series构造函数的问题</span></li>
<li><span class="yiyi-st" id="yiyi-2246"><code class="docutils literal"><span class="pre">HDFStore</span></code></span><ul>
<li><span class="yiyi-st" id="yiyi-2239">修复奇怪的PyTables错误时使用太多选择器在一个也正确过滤任何数量的值在一个Term表达式（所以不使用numexpr过滤，但isin过滤）</span></li>
<li><span class="yiyi-st" id="yiyi-2240">在内部，将所有变量更改为private-like（现在有前导下划线）</span></li>
<li><span class="yiyi-st" id="yiyi-2241">修正查询解析以正确解释布尔值和！=（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2849">GH2849</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2973">GH2973</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2242">修复了具有0-len数组和压缩（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2931">GH2931</a>）的SparseSeries的病理情况</span></li>
<li><span class="yiyi-st" id="yiyi-2243">修复了如果块的一部分是全纳（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3012">GH3012</a>）时写入行的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2244">根据需要，异常现在为ValueError或TypeError</span></li>
<li><span class="yiyi-st" id="yiyi-2245">如果min_itemsize包含不是可查询对象的字段，则表将立即生效</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-2247">Bug在applymap中显示，其中一些对象类型列已转换（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2909">GH2909</a>）在convert_objects中具有不正确的默认值</span></li>
<li><span class="yiyi-st" id="yiyi-2255">TimeDeltas</span><ul>
<li><span class="yiyi-st" id="yiyi-2248">具有时间戳的rhs系列操作系统抛出异常（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2898">GH2898</a>）在lhs和rhs上添加了具有datetimes，timedeltas，Timestamps和datelike系列的系列操作</span></li>
<li><span class="yiyi-st" id="yiyi-2249">修复了py3和numpy 1.7.0上的细微timedelta64推理问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3094">GH3094</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2250">修正了timedelta的一些格式化问题</span></li>
<li><span class="yiyi-st" id="yiyi-2251">支持对timedelta64的空检查，用NaT表示（和格式化）</span></li>
<li><span class="yiyi-st" id="yiyi-2252">支持具有np.nan值的setitem，转换为NaT</span></li>
<li><span class="yiyi-st" id="yiyi-2253">支持数据帧中的最小/最大操作（abs不工作，在非支持的操作上也不会出错）</span></li>
<li><span class="yiyi-st" id="yiyi-2254">支持系列中的idxmin / idxmax / abs / max / min（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2989">GH2989</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2982">GH2982</a>）</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-2256">在需要转换为<code class="docutils literal"><span class="pre">float</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2746">GH2746</a>）的<code class="docutils literal"><span class="pre">integer</span></code>系列上就地屏蔽</span></li>
<li><span class="yiyi-st" id="yiyi-2257"><code class="docutils literal"><span class="pre">datetime64[ns]</span></code>的序列中的错误<code class="docutils literal"><span class="pre">NaT</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2967">GH2967</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2258"><code class="docutils literal"><span class="pre">datetime64[ns]</span></code>系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3002">GH3002</a>）的值的计数错误</span></li>
<li><span class="yiyi-st" id="yiyi-2259">在索引中固定打印<code class="docutils literal"><span class="pre">NaT</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2260">在<code class="docutils literal"><span class="pre">NaT</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2982">GH2982</a>）的<code class="docutils literal"><span class="pre">datetime64[ns]</span></code>系列的idxmin / idxmax中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2261">在<code class="docutils literal"><span class="pre">icol，</span> <span class="pre">采取</span></code>中阴性指示的错误产生不正确的返回值（参见<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2922">GH2922</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2892">GH2892 ），还检查超出界限索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3029">GH3029</a>）</a></span></li>
<li><span class="yiyi-st" id="yiyi-2262">当列创建失败时，DataFrame列插入时出现错误，现有框架处于不可恢复状态（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3010">GH3010</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2263">在DataFrame更新中出现错误，combine_first其中未指定的值可能导致dtype更改（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3016">GH3016</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3041">GH3041</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2264">在groupby中的第一个/最后一个在dtypes可以更改（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3041">GH3041</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2763">GH2763</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2265">具有<code class="docutils literal"><span class="pre">nan</span></code>的索引的格式不一致或错误（将从其他值填充），（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2850">GH2850</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2266">解开没有nans的帧将总是导致dtype upcasting（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2929">GH2929</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2267">修复标量datetime.datetime解析read_csv中的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3071">GH3071</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2268">固定缓慢打印大数据帧，由于低效的dtype报告（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2807">GH2807</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2269">修复了groupby中使用函数作为grouper（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3035">GH3035</a>）时的segfault</span></li>
<li><span class="yiyi-st" id="yiyi-2270">修复无限数据结构的漂亮打印（关闭<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2978">GH2978</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2271">修复带有时区的时序图（关闭<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2877">GH2877</a>）时的异常</span></li>
<li><span class="yiyi-st" id="yiyi-2272">str.contains ignored na argument（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2806">GH2806</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2273">使用不匹配长度的分类分组器（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3011">GH3011</a>）分组时，替换segfault的警告</span></li>
<li><span class="yiyi-st" id="yiyi-2274">修复SparseSeries.density中的异常（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2083">GH2083</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2275">修正上限取样错误，关闭=“左”，每天更新为每日数据（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3020">GH3020</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2276">在scatter_matrix图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3063">GH3063</a>）上修正缺少的勾号条</span></li>
<li><span class="yiyi-st" id="yiyi-2277">当d是date()而不是datetime()（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2993">GH2993</a>）时，在Timestamp（d，tz = foo）</span></li>
<li><span class="yiyi-st" id="yiyi-2278">series.plot（kind =&apos;bar&apos;）现在尊重pylab颜色方案（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3115">GH3115</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2279">修正重塑形式的错误，如果没有传递正确的输入，现在引发TypeError（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2719">GH2719</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2280">修正了一个错误，如果OrderedDict传入（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3282">GH3282</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2281">修复RESO_US上的NameError问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2787">GH2787</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2282">允许在<em>无序</em>时间库中选择与<em>有序</em>时间库（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2437">GH2437</a>）类似。</span></li>
<li><span class="yiyi-st" id="yiyi-2283">修正在使用<code class="docutils literal"><span class="pre">axes=1</span></code>和级别参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2903">GH2903</a>）调用时执行<code class="docutils literal"><span class="pre">.xs</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2284">Timestamp现在支持类似于数据时间的类方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3042">GH3042</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2285">修复了使用布尔键索引序列并在rhs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2745">GH2745</a>）或rhs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3235">GH3235</a>）上列出1列表的问题</span></li>
<li><span class="yiyi-st" id="yiyi-2286">修复了groupby中的bug，当内核生成了具有不等于len（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1738">GH1738</a>）的数组列表时</span></li>
<li><span class="yiyi-st" id="yiyi-2287">固定处理中心= True的rolling_corr，可能产生corr&gt; 1（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3155">GH3155</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2288">修复了索引可以作为“index / column”以及0/1作为轴参数传递的问题</span></li>
<li><span class="yiyi-st" id="yiyi-2289">PeriodIndex.tolist现在框到期间（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3178">GH3178</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2290">PeriodIndex.get_loc KeyError现在报告周期而不是序数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3179">GH3179</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2291">df.to_records错误处理MultiIndex（GH3189）</span></li>
<li><span class="yiyi-st" id="yiyi-2292">修复系列.__ getitem__ segfault当索引小于-length（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3168">GH3168</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2293">修正使用Timestamp作为日期解析器（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2932">GH2932</a>）时的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2294">修正错误，建立日期范围从时间戳与时区，并通过相同的时区（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2926">GH2926</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2295">将比较运算符添加到Period对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2781">GH2781</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2296">修复在将两个Series连接到DataFrame时，如果它们具有相同的名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2797">GH2797</a>）时的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2297">在绘制没有颜色参数的连续时间序列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2816">GH2816</a>）时修复自动颜色循环</span></li>
<li><span class="yiyi-st" id="yiyi-2298">在PeriodIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2891">GH2891</a>）的酸洗中修复错误</span></li>
<li><span class="yiyi-st" id="yiyi-2299">当setitem与索引器（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3216">GH3216</a>）时，在混合DataFrame中需要时，上传/拆分块</span></li>
<li><span class="yiyi-st" id="yiyi-2300">在带有dupe cols的数据帧上调用df.applymap现在引发一个ValueError（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2786">GH2786</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2301">使用无效的返回索引应用提高正确的异常（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2808">GH2808</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2302">修正了绘制对数比例条形图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3247">GH3247</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2303">df.plot()grid on / off现在遵循mpl默认样式，就像series.plot()。</span><span class="yiyi-st" id="yiyi-2304">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3233">GH3233</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2305">修正了plotting.andrews_curves()（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3278">GH3278</a>）图例中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2306">如果我们只生成一个奇异序列并且有一个简单的索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2893">GH2893</a>），则生成一个关于apply的序列</span></li>
<li><span class="yiyi-st" id="yiyi-2307">当整数超出浮点间距（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3258">GH3258</a>）时修复Python ASCII文件解析</span></li>
<li><span class="yiyi-st" id="yiyi-2308">固定漂亮的套装（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3294">GH3294</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2309">面板()和Panel.from_dict()现在尊重排序时给予OrderedDict（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3303">GH3303</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2310">DataFrame，其中数据类型未正确选择（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3311">GH3311</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2311">确保索引强制工作，即使在Int64Index</span></li>
<li><span class="yiyi-st" id="yiyi-2312">修复传递MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3308">GH3308</a>）时的set_index segfault</span></li>
<li><span class="yiyi-st" id="yiyi-2313">确保在py2中创建的pickle可以在py3中读取</span></li>
<li><span class="yiyi-st" id="yiyi-2314">在MultiIndex摘要repr中插入省略号（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3348">GH3348</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2315">Groupby将处理输入组列之间的变异（并回退到非快速应用）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3380">GH3380</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2316">在使用MPL GTK后端（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3360">GH3360</a>）时消除FreeBSD上的unicode错误</span></li>
<li><span class="yiyi-st" id="yiyi-2317">Period.strftime应始终返回Unicode字符串（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3363">GH3363</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2318">尊重已通过read_ * chunksize在get_chunk函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3406">GH3406</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-10-1">
<h2><span class="yiyi-st" id="yiyi-2319">pandas 0.10.1</span></h2>
<p><span class="yiyi-st" id="yiyi-2320"><strong>发布日期：</strong> 2013-01-22</span></p>
<div class="section" id="id29">
<h3><span class="yiyi-st" id="yiyi-2321">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2322">向世界银行WDI pandas.io.wb添加数据接口（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2592">GH2592</a>）</span></li>
</ul>
</div>
<div class="section" id="id30">
<h3><span class="yiyi-st" id="yiyi-2323">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2324">Restored inplace = True行为返回自身（同一对象），使用弃用警告，直到0.11（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1893">GH1893</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2328"><code class="docutils literal"><span class="pre">HDFStore</span></code></span><ul>
<li><span class="yiyi-st" id="yiyi-2325">重构HFDStore来处理非表存储作为对象，将允许未来的增强</span></li>
<li><span class="yiyi-st" id="yiyi-2326">从<code class="docutils literal"><span class="pre">put</span></code>删除关键字<code class="docutils literal"><span class="pre">compression</span></code>（由关键字<code class="docutils literal"><span class="pre">complib</span></code>替换为跨库一致）</span></li>
<li><span class="yiyi-st" id="yiyi-2327">警告<cite>PerformanceWarning</cite>如果您尝试存储将由PyTables酸洗的类型</span></li>
</ul>
</li>
</ul>
</div>
<div class="section" id="id31">
<h3><span class="yiyi-st" id="yiyi-2329">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2344"><code class="docutils literal"><span class="pre">HDFStore</span></code></span><ul>
<li><span class="yiyi-st" id="yiyi-2330">启用存储多索引数据帧（关闭<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1277">GH1277</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2331">支持数据列索引和选择，通过附加的<code class="docutils literal"><span class="pre">data_columns</span></code>关键字</span></li>
<li><span class="yiyi-st" id="yiyi-2332">支持写分块以减少内存占用，通过<code class="docutils literal"><span class="pre">chunksize</span></code>关键字附加</span></li>
<li><span class="yiyi-st" id="yiyi-2333">支持通过<code class="docutils literal"><span class="pre">index</span></code>关键字自动索引到append</span></li>
<li><span class="yiyi-st" id="yiyi-2334">支持<code class="docutils literal"><span class="pre">expectedrows</span></code>关键字在append中通知<code class="docutils literal"><span class="pre">PyTables</span></code>关于预期的表大小</span></li>
<li><span class="yiyi-st" id="yiyi-2335">在选择中支持<code class="docutils literal"><span class="pre">start</span></code>和<code class="docutils literal"><span class="pre">stop</span></code>关键字以限制行选择空间</span></li>
<li><span class="yiyi-st" id="yiyi-2336">添加了<code class="docutils literal"><span class="pre">get_store</span></code>上下文管理器以使用pandas自动导入</span></li>
<li><span class="yiyi-st" id="yiyi-2337">在选择中通过<code class="docutils literal"><span class="pre">columns</span></code>关键字添加列过滤</span></li>
<li><span class="yiyi-st" id="yiyi-2338">添加方法append_to_multiple / select_as_multiple / select_as_coordinates以进行多表附加/选择</span></li>
<li><span class="yiyi-st" id="yiyi-2339">添加了对datetime64的支持</span></li>
<li><span class="yiyi-st" id="yiyi-2340">添加方法<code class="docutils literal"><span class="pre">unique</span></code>在可索引或数据列中选择唯一值</span></li>
<li><span class="yiyi-st" id="yiyi-2341">添加方法<code class="docutils literal"><span class="pre">copy</span></code>以复制现有存储（并可能升级）</span></li>
<li><span class="yiyi-st" id="yiyi-2342">显示打印存储时非表存储的磁盘上数据的形状</span></li>
<li><span class="yiyi-st" id="yiyi-2343">添加读取PyTables风味表的能力（允许与其他HDF5系统的兼容性）</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-2345">将<code class="docutils literal"><span class="pre">logx</span></code>选项添加到DataFrame / Series.plot（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2327">GH2327</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2565">GH2565</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2346">支持从文件状对象读取gzipped数据</span></li>
<li><span class="yiyi-st" id="yiyi-2347"><code class="docutils literal"><span class="pre">pivot_table</span></code> aggfunc可以是GroupBy.aggregate中使用的任何东西（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2643">GH2643</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2348">在设置的基数可能溢出64位整数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2690">GH2690</a>）的情况下实施DataFrame合并</span></li>
<li><span class="yiyi-st" id="yiyi-2349">如果指定整数dtype并且具有NA值，则在C文件解析器中提升异常。</span><span class="yiyi-st" id="yiyi-2350">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2631">GH2631</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2351">尝试在read_csv中解析ISO8601格式日期（当parse_dates = True时），以便在这种情况下提高性能（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2698">GH2698</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2352">将方法<code class="docutils literal"><span class="pre">neg</span></code>和<code class="docutils literal"><span class="pre">inv</span></code>添加到Series</span></li>
<li><span class="yiyi-st" id="yiyi-2353">在<code class="docutils literal"><span class="pre">ExcelFile</span></code>中实施<code class="docutils literal"><span class="pre">kind</span></code>选项以指示其是XLS还是XLSX文件（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2613">GH2613</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2354">在解析iso8601日期时间字符串产生高达20倍速加速时，在pd.read_csv中记录了快速路径。</span><span class="yiyi-st" id="yiyi-2355">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/5993">GH5993</a>）</span></li>
</ul>
</div>
<div class="section" id="id32">
<h3><span class="yiyi-st" id="yiyi-2356">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2357">修正read_csv / read_table多线程问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2608">GH2608</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2364"><code class="docutils literal"><span class="pre">HDFStore</span></code></span><ul>
<li><span class="yiyi-st" id="yiyi-2358">正确处理字符串列中的<code class="docutils literal"><span class="pre">nan</span></code>元素；通过<code class="docutils literal"><span class="pre">nan_rep</span></code>关键字序列化以附加</span></li>
<li><span class="yiyi-st" id="yiyi-2359">在未实现的列类型（unicode / date）上正确提升</span></li>
<li><span class="yiyi-st" id="yiyi-2360">handle correctly <code class="docutils literal"><span class="pre">Term</span></code> passed types (e.g. <code class="docutils literal"><span class="pre">index&lt;1000</span></code>, when index is <code class="docutils literal"><span class="pre">Int64</span></code>), (closes <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/512">GH512</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-2361">在data_columns中正确处理时间戳（关闭<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2637">GH2637</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2362">包含对非自然名称的正确匹配</span></li>
<li><span class="yiyi-st" id="yiyi-2363">在表中正确存储<code class="docutils literal"><span class="pre">float32</span></code> dtypes（如果不是同一个表中的其他浮点类型）</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-2365">使用UTF8编码列修复DataFrame.info错误。</span><span class="yiyi-st" id="yiyi-2366">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2576">GH2576</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2367">修复DatetimeIndex处理FixedOffset tz（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2604">GH2604</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2368">更广泛的检测IPython会话中的DataFrame控制台格式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2585">GH2585</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2369">在单元测试（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2564">GH2564</a>）中修复平台问题与<code class="docutils literal"><span class="pre">file:///</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2370">修复包含NA值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2616">GH2616</a>）的按层次级别进行分组时的错误和可能的段错误</span></li>
<li><span class="yiyi-st" id="yiyi-2371">确保MultiIndex元组可以用NAs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2616">GH2616</a>）构造</span></li>
<li><span class="yiyi-st" id="yiyi-2372">解锁多层次的MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2616">GH2616</a>）时解决int64溢出问题</span></li>
<li><span class="yiyi-st" id="yiyi-2373">默认情况下，从DataFrame.quantile中排除非数字数据（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2625">GH2625</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2374">修复Cython C int64装箱问题，导致read_csv返回不正确的结果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2599">GH2599</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2375">修复针对布尔数据（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2692">GH2692</a>）的groupby求和性能问题</span></li>
<li><span class="yiyi-st" id="yiyi-2376">不要使用to_datetime（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2699">GH2699</a>）包含datetime64值的系列</span></li>
<li><span class="yiyi-st" id="yiyi-2377">修复DataFrame.from_records在传递列，索引列，但是空记录列表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2633">GH2633</a>）时的情况</span></li>
<li><span class="yiyi-st" id="yiyi-2378">修复C解析器 - 令牌器错误与拖尾字段。</span><span class="yiyi-st" id="yiyi-2379">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2668">GH2668</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2380">不要从GroupBy.max / min（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2700">GH2700</a>）中排除非数字数据</span></li>
<li><span class="yiyi-st" id="yiyi-2381">调用DatetimeIndex.drop（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2621">GH2621</a>）时不要丢失时区</span></li>
<li><span class="yiyi-st" id="yiyi-2382">修复具有布尔键和非标量作为值的系列的setitem（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2686">GH2686</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2383">Series.apply / map中的框datetime64值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2627">GH2627</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2689">GH2689</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2384">连接帧时的上变频datetime + datetime64值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2624">GH2624</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2385">当一个DataFrame有重复的列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2649">GH2649</a>）时，在合并操作中提高更有用的错误消息</span></li>
<li><span class="yiyi-st" id="yiyi-2386">修复部分日期解析问题只有当代码在EOM（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2618">GH2618</a>）运行时才会发生</span></li>
<li><span class="yiyi-st" id="yiyi-2387">在具有高基数MultiIndex对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2684">GH2684</a>）的sortlevel中使用计数排序时防止MemoryError</span></li>
<li><span class="yiyi-st" id="yiyi-2388">当所有值都归入单个bin（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2070">GH2070</a>）时，Fix Period重新采样错误</span></li>
<li><span class="yiyi-st" id="yiyi-2389">修复在read_csv中与usecols参数的错误交互，当有隐式第一索引列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2654">GH2654</a>）时</span></li>
<li><span class="yiyi-st" id="yiyi-2390">修正<code class="docutils literal"><span class="pre">Index.summary()</span></code>中的错误，其中字符串格式的方法被错误地调用。</span><span class="yiyi-st" id="yiyi-2391">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/3869">GH3869</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-10-0">
<h2><span class="yiyi-st" id="yiyi-2392">pandas 0.10.0</span></h2>
<p><span class="yiyi-st" id="yiyi-2393"><strong>发布日期：</strong> 2012-12-17</span></p>
<div class="section" id="id33">
<h3><span class="yiyi-st" id="yiyi-2394">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2395">全新的高性能分隔文件解析引擎，用C和Cython编写。</span><span class="yiyi-st" id="yiyi-2396">在许多标准用例中具有50％或更好的性能，具有少量的内存使用。</span><span class="yiyi-st" id="yiyi-2397">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/407">GH407</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/821">GH821</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2417">许多新的文件解析器（read_csv，read_table）特性：</span><ul>
<li><span class="yiyi-st" id="yiyi-2398">支持即时gzip或bz2解压缩（<cite>压缩</cite>选项）</span></li>
<li><span class="yiyi-st" id="yiyi-2399">能够返回numpy.recarray而不是DataFrame（<cite>as_recarray = True</cite>）</span></li>
<li><span class="yiyi-st" id="yiyi-2400"><cite>dtype</cite>选项：显式列dtypes</span></li>
<li><span class="yiyi-st" id="yiyi-2401"><cite>usecols</cite>选项：指定要从文件读取的列的列表。</span><span class="yiyi-st" id="yiyi-2402">适合读取包含许多不相关列的非常宽的文件（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1216">GH1216</a> <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/926">GH926</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2465">GH2465</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2403">通过<cite>编码</cite>选项增强的Unicode解码支持</span></li>
<li><span class="yiyi-st" id="yiyi-2404"><cite>skipinitialspace</cite>方言选项</span></li>
<li><span class="yiyi-st" id="yiyi-2405">可以指定要识别为True（<cite>true_values</cite>）或False（<cite>false_values</cite>）的字符串</span></li>
<li><span class="yiyi-st" id="yiyi-2406">高性能<cite>delim_whitespace</cite>选项，用于以空格分隔的文件；是&apos;s +&apos;正则表达式定界符的首选替代项</span></li>
<li><span class="yiyi-st" id="yiyi-2407">跳过过去可能导致错误的“错误”行（错误的字段数）的选项（<cite>error_bad_lines</cite>和<cite>warn_bad_lines</cite>选项）</span></li>
<li><span class="yiyi-st" id="yiyi-2408">基本上提高了解析带有成千条标记的整数和带注释的行的性能</span></li>
<li><span class="yiyi-st" id="yiyi-2409">易于使用欧洲（和其他）十进制格式（<cite>十进制</cite>选项）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/584">GH584</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2466">GH2466</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2410">自定义行终止符（例如lineterminator =&apos;〜&apos;）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2457">GH2457</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2411">处理CSV文件中没有尾随逗号（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2333">GH2333</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2412">能够在date_converters（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2209">GH2209</a>）中处理小数秒钟</span></li>
<li><span class="yiyi-st" id="yiyi-2413">read_csv allow scalar arg to na_values（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1944">GH1944</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2414">read_ *函数中的显式列dtype规范（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1858">GH1858</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2415">更便于CSV方言规范（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1743">GH1743</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2416">处理特殊字符（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1204">GH1204</a>）时提高解析器性能</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-2418">Google Analytics（分析）API与easy oauth2工作流程整合（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2283">GH2283</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2419">将错误处理添加到Series.str.encode / decode（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2276">GH2276</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2420">将<code class="docutils literal"><span class="pre">where</span></code>和<code class="docutils literal"><span class="pre">mask</span></code>添加到Series（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2337">GH2337</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2421">通过Series / DataFrame.hist中的<cite>by</cite>关键字分组的直方图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2186">GH2186</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2422">在Series和DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2002">GH2002</a>）中支持<code class="docutils literal"><span class="pre">corr</span></code>和<code class="docutils literal"><span class="pre">cov</span></code>中的可选的<code class="docutils literal"><span class="pre">min_periods</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2423">将<code class="docutils literal"><span class="pre">duplicated</span></code>和<code class="docutils literal"><span class="pre">drop_duplicates</span></code>添加到系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1923">GH1923</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2424">为<code class="docutils literal"><span class="pre">HDFStore</span> <span class="pre">表格</span></code>添加文档格式</span></li>
<li><span class="yiyi-st" id="yiyi-2425">&apos;density&apos;property in <cite>SparseSeries</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2384">GH2384</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2426">为正向和回填时间序列数据添加<code class="docutils literal"><span class="pre">ffill</span></code>和<code class="docutils literal"><span class="pre">bfill</span></code>便利函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2284">GH2284</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2427">新选项配置系统和函数<cite>set_option</cite>，<cite>get_option</cite>，<cite>describe_option</cite>和<cite>reset_option</cite>。</span><span class="yiyi-st" id="yiyi-2428">不再使用<cite>set_printoptions</cite>和<cite>reset_printoptions</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2393">GH2393</a>）。</span><span class="yiyi-st" id="yiyi-2429">您还可以通过<code class="docutils literal"><span class="pre">pandas.options.X</span></code>访问作为属性的选项</span></li>
<li><span class="yiyi-st" id="yiyi-2430">通过新的<cite>expand_frame_repr</cite>和<cite>line_width</cite>配置选项，您可以在控制台中更轻松地查看宽数据帧。</span><span class="yiyi-st" id="yiyi-2431">现在默认情况下启用（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2436">GH2436</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2432">Scikits.timeseries类移动窗口函数通过<code class="docutils literal"><span class="pre">rolling_window</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1270">GH1270</a>）</span></li>
</ul>
</div>
<div class="section" id="id34">
<h3><span class="yiyi-st" id="yiyi-2433">Experimental Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2434">添加对Panel4D的支持，这是一个名为4维的结构</span></li>
<li><span class="yiyi-st" id="yiyi-2435">添加对ndpanel工厂函数的支持，以创建自定义的特定于域的N维容器</span></li>
</ul>
</div>
<div class="section" id="id35">
<h3><span class="yiyi-st" id="yiyi-2436">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2437">对于每日和低频，<code class="docutils literal"><span class="pre">resample</span></code>的默认分级/标记行为已更改为<cite>closed =&apos;left&apos;，label =&apos;left&apos;</cite>。</span><span class="yiyi-st" id="yiyi-2438">这对用户来说是一个很大的混乱。</span><span class="yiyi-st" id="yiyi-2439">请参阅“新功能”页面了解更多。</span><span class="yiyi-st" id="yiyi-2440">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2410">GH2410</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2441">使用<code class="docutils literal"><span class="pre">inplace</span></code>选项的方法现在返回None，而不是调用（修改）对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1893">GH1893</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2442">特殊情况DataFrame  - 执行逐列广播的TimeSeries已被弃用。</span><span class="yiyi-st" id="yiyi-2443">用户应明确地df.sub（ts，axis = 0）。</span><span class="yiyi-st" id="yiyi-2444">这是一个遗留的黑客，可以导致微妙的错误。</span></li>
<li><span class="yiyi-st" id="yiyi-2445">inf / -inf不再被isnull / notnull视为NA。</span><span class="yiyi-st" id="yiyi-2446">要清楚，这是来自早期大熊猫的遗产。。</span><span class="yiyi-st" id="yiyi-2447">此行为可使用新选项<code class="docutils literal"><span class="pre">mode.use_inf_as_null</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2050">GH2050</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1919">GH1919</a>）全局重新启用</span></li>
<li><span class="yiyi-st" id="yiyi-2448"><code class="docutils literal"><span class="pre">pandas.merge</span></code>现在默认为<code class="docutils literal"><span class="pre">sort=False</span></code>。</span><span class="yiyi-st" id="yiyi-2449">对于许多使用情况，排序连接键不是必需的，并且默认情况下这是浪费</span></li>
<li><span class="yiyi-st" id="yiyi-2450">明确指定<code class="docutils literal"><span class="pre">header=0</span></code>以替换read_ *函数中文件中的现有列名。</span></li>
<li><span class="yiyi-st" id="yiyi-2451">无标题解析文件的默认列名（由read_csv等产生）</span><span class="yiyi-st" id="yiyi-2452">现在是整数0，1，....添加了一个新的参数<cite>前缀</cite>；以获取v0.9.x行为指定<code class="docutils literal"><span class="pre">prefix=&apos;X&apos;</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2034">GH2034</a>）。</span><span class="yiyi-st" id="yiyi-2453">进行此API更改是为了使默认列名称与DataFrame构造函数的默认列名称一致，当没有指定时。</span></li>
<li><span class="yiyi-st" id="yiyi-2454">使用布尔框架的DataFrame选择现在保留输入形状</span></li>
<li><span class="yiyi-st" id="yiyi-2455">如果函数传递给Series.apply产生一个Series，结果将是一个DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2316">GH2316</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2456">像YES / NO / yes / no这样的值在文件解析器中不会被默认为布尔值。</span><span class="yiyi-st" id="yiyi-2457">这可以使用新的<code class="docutils literal"><span class="pre">true_values</span></code>和<code class="docutils literal"><span class="pre">false_values</span></code>选项（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2360">GH2360</a>）进行自定义</span></li>
<li><span class="yiyi-st" id="yiyi-2458"><cite>obj.fillna()</cite>不再有效；使<cite>method =&apos;pad&apos;</cite>不再是默认选项，以更明确地说明要执行什么样的填充。</span><span class="yiyi-st" id="yiyi-2459">添加上述<cite>ffill / bfill</cite>便利功能（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2284">GH2284</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2460"><cite>HDFStore.keys()</cite>现在返回每个键的绝对路径名</span></li>
<li><span class="yiyi-st" id="yiyi-2461"><cite>to_string()</cite>现在总是返回一个unicode字符串。</span><span class="yiyi-st" id="yiyi-2462">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2224">GH2224</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2463">文件解析器不处理由传递的转换器函数产生的NA标识值</span></li>
</ul>
</div>
<div class="section" id="id36">
<h3><span class="yiyi-st" id="yiyi-2464">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2465">将<code class="docutils literal"><span class="pre">nrows</span></code>选项添加到DataFrame.from_records中用于迭代器（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1794">GH1794</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2466">在观察到的关键字的数量远小于可能发生的总数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2278">GH2278</a>）的情况下，重新编写Unstack / reshape算法重写以避免高内存使用。</span><span class="yiyi-st" id="yiyi-2467">还可以在大多数情况下提高性能。</span></li>
<li><span class="yiyi-st" id="yiyi-2468">支持DataFrame.from_records（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2179">GH2179</a>）中的重复列</span></li>
<li><span class="yiyi-st" id="yiyi-2469">将<code class="docutils literal"><span class="pre">normalize</span></code>选项添加到Series / DataFrame.asfreq（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2137">GH2137</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2470">从空和标量值构造的SparseSeries和SparseDataFrame现在不再不必要地创建密集的数组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2322">GH2322</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2471"><code class="docutils literal"><span class="pre">HDFStore</span></code>现在支持分层键（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2397">GH2397</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2472">支持<code class="docutils literal"><span class="pre">HDFStore</span> <span class="pre">表格</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1996">GH1996</a>）的多种查询选择格式</span></li>
<li><span class="yiyi-st" id="yiyi-2473">支持<code class="docutils literal"><span class="pre">del</span> <span class="pre">store [&apos;df&apos;]</span></code>语法删除HDFStores</span></li>
<li><span class="yiyi-st" id="yiyi-2474">为<code class="docutils literal"><span class="pre">HDFStore</span> <span class="pre">表添加多类型支持</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2475"><code class="docutils literal"><span class="pre">min_itemsize</span></code>参数可以在<code class="docutils literal"><span class="pre">HDFStore</span> <span class="pre">表</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2476">在<code class="docutils literal"><span class="pre">HDFStore</span> <span class="pre">表中建立索引支持</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/698">GH698</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2477">将<cite>line_terminator</cite>选项添加到DataFrame.to_csv（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2383">GH2383</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2478">添加str（x）/ unicode（x）/ bytes（x）实现到主要的熊猫数据结构，这应该做正确的事情在py2.x和py3.x。</span><span class="yiyi-st" id="yiyi-2479">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2224">GH2224</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2480">通过低级别操纵DataFrames（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/535">GH535</a>）中的内部NumPy数组来减少groupby.apply开销</span></li>
<li><span class="yiyi-st" id="yiyi-2481">在<code class="docutils literal"><span class="pre">melt</span></code>中实施<code class="docutils literal"><span class="pre">value_vars</span></code>并将<code class="docutils literal"><span class="pre">melt</span></code>添加到pandas命名空间（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2412">GH2412</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2482">为面板添加了布尔比较运算符</span></li>
<li><span class="yiyi-st" id="yiyi-2483">启用<code class="docutils literal"><span class="pre">Series.str.strip/lstrip/rstrip</span></code>方法接受参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2411">GH2411</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2484">DataFrame ctor现在在给定OrderedDict（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2455">GH2455</a>）时遵守列排序</span></li>
<li><span class="yiyi-st" id="yiyi-2485">将DatetimeIndex分配给Series会将类更改为TimeSeries（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2139">GH2139</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2486">提高非整数数据上的.value_counts方法的性能（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2480">GH2480</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2487"><code class="docutils literal"><span class="pre">get_level_values</span></code> MultiIndex返回索引而不是ndarray方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2449">GH2449</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2488"><code class="docutils literal"><span class="pre">convert_to_r_dataframe</span></code>转换datetime值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2351">GH2351</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2489">允许<code class="docutils literal"><span class="pre">DataFrame.to_csv</span></code>以不同的方式表示inf和nan（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2026">GH2026</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2490">将<code class="docutils literal"><span class="pre">min_i</span></code>参数添加到<code class="docutils literal"><span class="pre">nancorr</span></code>以指定最小所需观察值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2002">GH2002</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2491">在DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1873">GH1873</a>）上将<code class="docutils literal"><span class="pre">inplace</span></code>选项添加到<code class="docutils literal"><span class="pre">sortlevel</span></code> / <code class="docutils literal"><span class="pre">sort</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2492">启用DataFrame以接受标量构造函数值，如Series（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1856">GH1856</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2493">DataFrame.from_records现在接受可选的<code class="docutils literal"><span class="pre">size</span></code>参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1794">GH1794</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2494">包括光圈数据集（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1709">GH1709</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2495">没有datetime64 datetime.datetime的列转换与tzinfo（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1581">GH1581</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2496">DataFrame中的微优化用于跟踪内部合并的状态（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/217">GH217</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2497">DataFrame.to_csv中的格式参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1525">GH1525</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2498">对于每日和更高频率（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2306">GH2306</a>），<code class="docutils literal"><span class="pre">DatetimeIndex</span></code>的部分字符串切片</span></li>
<li><span class="yiyi-st" id="yiyi-2499">在DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1000">GH1000</a>）中的<code class="docutils literal"><span class="pre">to_html</span></code>和<code class="docutils literal"><span class="pre">to_string</span></code>中实施<code class="docutils literal"><span class="pre">col_space</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2500">覆盖<code class="docutils literal"><span class="pre">Series.tolist</span></code>和框datetime64类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2447">GH2447</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2501">通过压缩索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2278">GH2278</a>）优化<code class="docutils literal"><span class="pre">unstack</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2502">如果打开窗口很小（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2275">GH2275</a>），修复IPython qtconsole中的HTML repr</span></li>
<li><span class="yiyi-st" id="yiyi-2503">在控制台输出中转义更多特殊字符（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2492">GH2492</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2504">df.select现在对crit（x）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2487">GH2487</a>）的结果调用bool</span></li>
</ul>
</div>
<div class="section" id="id37">
<h3><span class="yiyi-st" id="yiyi-2505">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2506">修复DataFrame.iteritems中的主要性能回归（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2273">GH2273</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2507">修复了当负数周期传递到Series / DataFrame.diff（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2266">GH2266</a>）时的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2508">在控制台输出中转义选项卡以避免对齐问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2038">GH2038</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2509">在从混合型数据框架（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2272">GH2272</a>）中检索横截面时，正确地装入datetime64值</span></li>
<li><span class="yiyi-st" id="yiyi-2510">修复连接错误，导致<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2057">GH2057</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2257">GH2257</a></span></li>
<li><span class="yiyi-st" id="yiyi-2511">在索引控制台格式化（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2319">GH2319</a>）中修正回归</span></li>
<li><span class="yiyi-st" id="yiyi-2512">将PeriodIndex分配给框架列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2243">GH2243</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2281">GH2281</a>）时的箱期数据</span></li>
<li><span class="yiyi-st" id="yiyi-2513">在使用inplace = True（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2277">GH2277</a>）的系列上调用reset_index时抛出异常</span></li>
<li><span class="yiyi-st" id="yiyi-2514">启用在DataFrame中设置多个列的分层列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2295">GH2295</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2515">在DataFrame构造函数中使用dtype = object（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2291">GH2291</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2516">修复datetimeIndex.join错误与tz感知索引和如何=&apos;外&apos;（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2317">GH2317</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2517">pop（...）和使用带有重复列的DataFrame的工作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2349">GH2349</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2518">在日期解析中将空字符串视为NA（而不是让dateutil做一些奇怪的事情）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2263">GH2263</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2519">阻止uint64  - &gt; int64溢出（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2355">GH2355</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2520">启用MultiIndex和常规索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2024">GH2024</a>）之间的连接</span></li>
<li><span class="yiyi-st" id="yiyi-2521">在将不重叠的DatetimeIndex对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2367">GH2367</a>）联合时修复时区元数据问题</span></li>
<li><span class="yiyi-st" id="yiyi-2522">在解析器中提升/处理int64溢出（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2247">GH2247</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2523">删除<code class="docutils literal"><span class="pre">HDFStore</span> <span class="pre">表`</span></code>中的连续行比以前快得多</span></li>
<li><span class="yiyi-st" id="yiyi-2524">如果不是首先通过<code class="docutils literal"><span class="pre">put</span></code>创建表，则附加在HDFStore上将失败</span></li>
<li><span class="yiyi-st" id="yiyi-2525">在DataFrame.to_html（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2328">GH2328</a>）中使用<cite>col_space</cite>参数作为最小列宽</span></li>
<li><span class="yiyi-st" id="yiyi-2526">修复tz感知DatetimeIndex.to_period（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2232">GH2232</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2527">使用MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2314">GH2314</a>）修复DataFrame行索引大小写</span></li>
<li><span class="yiyi-st" id="yiyi-2528">修正索引中的Timestamp对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2294">GH2294</a>）的to_excel导出问题</span></li>
<li><span class="yiyi-st" id="yiyi-2529">修复了将标量和数组分配给分层列块（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1803">GH1803</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2530">修复了系列tidy_repr（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2225">GH2225</a>）的UnicodeDecodeError</span></li>
<li><span class="yiyi-st" id="yiyi-2531">修复了在索引中出现重复键（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2347">GH2347</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2380">GH2380</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2532">修正了问题re：哈希随机，默认开始w / py3.3（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2331">GH2331</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2533">修正载入腌制的资料框（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2431">GH2431</a>）后缺少属性的问题</span></li>
<li><span class="yiyi-st" id="yiyi-2534">在dateutil 2.1中使用tzoffset时区修正时间戳格式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2443">GH2443</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2535">修复GroupBy.apply问题，当使用BinGrouper做ts binning（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2300">GH2300</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2536">修复在调用DataFrame.apply时datetime.datetime列转换为datetime64导致的问题。</span><span class="yiyi-st" id="yiyi-2537">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2374">GH2374</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2538">在非唯一索引框架（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2441">GH2441</a>）上调用to_panel时抛出异常</span></li>
<li><span class="yiyi-st" id="yiyi-2539">改进了对IPython zmq前端（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2458">GH2458</a>）的控制台编码检测</span></li>
<li><span class="yiyi-st" id="yiyi-2540">保留两个时间序列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2260">GH2260</a>）时添加时区</span></li>
<li><span class="yiyi-st" id="yiyi-2541">在时区感知索引上调用reset_index而不是创建无tz的datetime64列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2262">GH2262</a>）时，时间戳记</span></li>
<li><span class="yiyi-st" id="yiyi-2542">启用在DataFrame.filter中搜索非字符串列（like = ...）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2467">GH2467</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2543">修复了在转换为DatetimeIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2252">GH2252</a>）时丢失纳秒精度的问题</span></li>
<li><span class="yiyi-st" id="yiyi-2544">在Datetime.normalize（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2338">GH2338</a>）中处理时区</span></li>
<li><span class="yiyi-st" id="yiyi-2545">修复测试用例，其中带有字节序的dtype规范导致大端机器上的故障（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2318">GH2318</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2546">修正绘图错误，其中上采样导致数据在时间上偏移（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2448">GH2448</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2547">修正带有BOM和skiprows（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2298">GH2298</a>）的UTF-16的<code class="docutils literal"><span class="pre">read_csv</span></code>故障</span></li>
<li><span class="yiyi-st" id="yiyi-2548">具有名称arg的read_csv不隐含地设置header = None（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2459">GH2459</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2549">无法识别的压缩模式会在read_csv（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2474">GH2474</a>）中导致segfault</span></li>
<li><span class="yiyi-st" id="yiyi-2550">在read_csv中，header = 0，并且传递的名称应该丢弃第一行（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2269">GH2269</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2551">在read_table（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2071">GH2071</a>）中正确路由到stdout / stderr</span></li>
<li><span class="yiyi-st" id="yiyi-2552">修正在使用tzoffset（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2471">GH2471</a>）的时间戳记调用Timestamp.to_datetime时修复异常</span></li>
<li><span class="yiyi-st" id="yiyi-2553">在groupby.first()（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2133">GH2133</a>）中修复了无意中将datetime64转换为long</span></li>
<li><span class="yiyi-st" id="yiyi-2554">空数据帧的联合现在返回空的连接索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2307">GH2307</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2555">DataFrame.sort_index引发更有用的异常，如果按列重复排序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2488">GH2488</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2556">DataFrame.to_string格式化也可以是列表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2520">GH2520</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2557">DataFrame.combine_first将始终导致索引和列的并集，即使一个DataFrame为长度零（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2525">GH2525</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2558">修复几个DataFrame.icol / irow与重复索引问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2228">GH2228</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2259">GH2259</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2559">当使用带轴= 1（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2489">GH2489</a>）的concat时，对列名称使用系列名称</span></li>
<li><span class="yiyi-st" id="yiyi-2560">如果开始，结束，周期都传递到date_range（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2538">GH2538</a>），则抛出异常</span></li>
<li><span class="yiyi-st" id="yiyi-2561">修复面板重新取样问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2537">GH2537</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-9-1">
<h2><span class="yiyi-st" id="yiyi-2562">pandas 0.9.1</span></h2>
<p><span class="yiyi-st" id="yiyi-2563"><strong>发布日期：</strong> 2012-11-14</span></p>
<div class="section" id="id38">
<h3><span class="yiyi-st" id="yiyi-2564">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2565">可以在DataFrame / Series.sort / sort_index（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/928">GH928</a>）中指定多个排序顺序</span></li>
<li><span class="yiyi-st" id="yiyi-2566">用于处理rank（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1508">GH1508</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2159">GH2159</a>）中的NAs的新<cite>顶部</cite>和<cite>底部</cite></span></li>
<li><span class="yiyi-st" id="yiyi-2567">将<cite>其中</cite>和<cite>掩码</cite>函数添加到DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2109">GH2109</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2151">GH2151</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2568">将<cite>at_time</cite>和<cite>between_time</cite>函数添加到DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2149">GH2149</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2569">将弹性<cite>pow</cite>和<cite>rpow</cite>方法添加到DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2190">GH2190</a>）</span></li>
</ul>
</div>
<div class="section" id="id39">
<h3><span class="yiyi-st" id="yiyi-2570">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2571">上采样周期索引“跨度”间隔。</span><span class="yiyi-st" id="yiyi-2572">示例：每年上调至每月的年度周期将跨越每年的所有月份</span></li>
<li><span class="yiyi-st" id="yiyi-2573">Period.end_time将在间隔中产生最后纳秒的时间戳（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2124">GH2124</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2125">GH2125</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1764">GH1764</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2574">对于指定了自定义转换器的列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2184">GH2184</a>），文件解析器不再强制为float或bool</span></li>
</ul>
</div>
<div class="section" id="id40">
<h3><span class="yiyi-st" id="yiyi-2575">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2576">月（例如WOM-2FRI）规则的时间规则推论（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2140">GH2140</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2577">提高大量偏移周期的日期时间+工作日偏移的性能</span></li>
<li><span class="yiyi-st" id="yiyi-2578">改进具有分层列的DataFrame对象的HTML显示</span></li>
<li><span class="yiyi-st" id="yiyi-2579">通过其列名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1936">GH1936</a>）启用Excel列的引用</span></li>
<li><span class="yiyi-st" id="yiyi-2580">DataFrame.dot可以接受ndarrays（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2042">GH2042</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2581">在Panel.shift（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2164">GH2164</a>）中支持排除期</span></li>
<li><span class="yiyi-st" id="yiyi-2582">Make .drop（...）使用非唯一索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2101">GH2101</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2583">提高Series / DataFrame.diff的性能（re：<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2087">GH2087</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2584">在DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2110">GH2110</a>）中支持一元〜（__invert__）</span></li>
<li><span class="yiyi-st" id="yiyi-2585">关闭熊猫式定位器和格式化程序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2205">GH2205</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2586">DataFrame [DataFrame]使用DataFrame.where来计算掩码帧（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2230">GH2230</a>）</span></li>
</ul>
</div>
<div class="section" id="id41">
<h3><span class="yiyi-st" id="yiyi-2587">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2588">修复一些重复列的DataFrame构造函数问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2079">GH2079</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2589">修复条形图颜色周期问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2082">GH2082</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2590">固定堆叠条形图的偏心网格（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2157">GH2157</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2591">修正绘图错误，如果推断的频率偏移N&gt; 1（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2126">GH2126</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2592">使用固定增量（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2078">GH2078</a>）实施日期偏移比较</span></li>
<li><span class="yiyi-st" id="yiyi-2593">在read_ *解析器函数中正确处理inf / -inf（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2041">GH2041</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2594">修复matplotlib unicode交互bug</span></li>
<li><span class="yiyi-st" id="yiyi-2595">使WLS r平方匹配statsmodel 0.5.0固定值</span></li>
<li><span class="yiyi-st" id="yiyi-2596">修复零修整DataFrame格式化错误</span></li>
<li><span class="yiyi-st" id="yiyi-2597">从Series.min / max（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2083">GH2083</a>）正确计算/ box datetime64最小/最大值</span></li>
<li><span class="yiyi-st" id="yiyi-2598">使用未表示的组修复拆散边缘情况（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2100">GH2100</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2599">修复使用管道模式“|”（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2119">GH2119</a>）时的Series.str失败</span></li>
<li><span class="yiyi-st" id="yiyi-2600">修复系列中的dict条目的漂亮打印，DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2144">GH2144</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2601">在DataFrame ctor（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2095">GH2095</a>）中将其他datetime64值转换为纳秒</span></li>
<li><span class="yiyi-st" id="yiyi-2602">Alias Timestamp.astimezone to tz_convert，so will yield Timestamp（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2060">GH2060</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2603">修复timedelta64格式的系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2165">GH2165</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2146">GH2146</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2604">Handle在dict中传递给Panel构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2075">GH2075</a>）的无格式值</span></li>
<li><span class="yiyi-st" id="yiyi-2605">Box datetime64值作为Series / DataFrame.iget（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2148">GH2148</a>）中的Timestamp对象</span></li>
<li><span class="yiyi-st" id="yiyi-2606">修复DatetimeIndex.insert（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2155">GH2155</a>）中的时间戳记索引错误</span></li>
<li><span class="yiyi-st" id="yiyi-2607">在DataFrame.to_records（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2161">GH2161</a>）中使用索引名称（如果有）</span></li>
<li><span class="yiyi-st" id="yiyi-2608">不要在Panel.to_frame / DataFrame.to_panel（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2163">GH2163</a>）中丢失索引名称</span></li>
<li><span class="yiyi-st" id="yiyi-2609">解决长度0布尔索引NumPy错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2096">GH2096</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2610">修复DataFrame.xs中的部分整数索引错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2107">GH2107</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2611">修复各种cut / qcut字符串格式化错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1978">GH1978</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1979">GH1979</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2612">在xs视图不可能使用MultiIndex的DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2117">GH2117</a>）时抛出异常</span></li>
<li><span class="yiyi-st" id="yiyi-2613">修复groupby（...）。first()问题与datetime64（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2133">GH2133</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2614">在一些rolling_ *函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2114">GH2114</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2527">GH2527</a>）中更好的浮点错误鲁棒性</span></li>
<li><span class="yiyi-st" id="yiyi-2615">修复系列中间的正常NA处理（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2128">GH2128</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2616">使用整数数据修正数值精度问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2087">GH2087</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2617">修正MultiIndex中的错误.__ getitem__带有NA值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2008">GH2008</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2618">修复DataFrame.from_records dict-arg传递列时的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2179">GH2179</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2619">修复系列和DataFrame.diff的整型dtypes（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2087">GH2087</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2174">GH2174</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2620">修正在使用空索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2129">GH2129</a>）的DatetimeIndex交集时的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2621">调用DataFrame.align（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2127">GH2127</a>）时传递时区信息</span></li>
<li><span class="yiyi-st" id="yiyi-2622">在datetime64值上加入时正确排序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2196">GH2196</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2623">修复索引bug，其中False / True被强制为0/1（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2199">GH2199</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2624">许多unicode格式修正（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2201">GH2201</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2625">修复分配不当的MultiIndex转化问题。 DataFrame.index（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2200">GH2200</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2626">修复混合类型DataFrame到带有双列的ndarray的转换（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2236">GH2236</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2627">修复重复的栏问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2218">GH2218</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2219">GH2219</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2628">修复SparseSeries .__ pow__问题与NA输入（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2220">GH2220</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2629">修复整数序列失败的icol（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2228">GH2228</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2630">固定重采样tz感知时间序列问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2245">GH2245</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2631">SparseDataFrame.icol未返回SparseSeries（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2227">GH2227</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2229">GH2229</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2632">启用ExcelWriter处理PeriodIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2240">GH2240</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2633">修复从空系列构造DataFrame的问题，名称为（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2234">GH2234</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2634">仅在交互式会话中使用控制台宽度检测（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1610">GH1610</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2635">使用mpl 1.2.0修复parallel_coordinates图例错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2237">GH2237</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2636">使tz_localize在空系列的情况下工作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2248">GH2248</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-9-0">
<h2><span class="yiyi-st" id="yiyi-2637">pandas 0.9.0</span></h2>
<p><span class="yiyi-st" id="yiyi-2638"><strong>发布日期：</strong> 10/7/2012</span></p>
<div class="section" id="id42">
<h3><span class="yiyi-st" id="yiyi-2639">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2640">将<code class="docutils literal"><span class="pre">str.encode</span></code>和<code class="docutils literal"><span class="pre">str.decode</span></code>添加到Series（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1706">GH1706</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2641">将<cite>to_latex</cite>方法添加到DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1735">GH1735</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2642">添加所有rolling_ * ops（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1785">GH1785</a>）的方便的展开窗口等效项</span></li>
<li><span class="yiyi-st" id="yiyi-2643">将选项类添加到pandas.io.data以从Yahoo!</span><span class="yiyi-st" id="yiyi-2644">财务（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1748">GH1748</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1739">GH1739</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2645">在文件解析（是，否，TRUE，FALSE，其变体）中识别并转换更多的布尔值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1691">GH1691</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1295">GH1295</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2646">添加Panel.update方法，类似于DataFrame.update（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1999">GH1999</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1988">GH1988</a>）</span></li>
</ul>
</div>
<div class="section" id="id43">
<h3><span class="yiyi-st" id="yiyi-2647">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2648">在合并操作中正确处理NA值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1990">GH1990</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2649">在一些Series.str方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1659">GH1659</a>）中为<code class="docutils literal"><span class="pre">re.compile</span></code>添加<code class="docutils literal"><span class="pre">flags</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2650">在read_ *函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1693">GH1693</a>）中解析UTC日期字符串</span></li>
<li><span class="yiyi-st" id="yiyi-2651">将发生器输入处理为系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1679">GH1679</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2652">将<cite>na_action =&apos;ignore&apos;</cite>添加到Series.map中以静默地传播NAs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1661">GH1661</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2653">向Series.apply（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1829">GH1829</a>）添加args / kwds选项</span></li>
<li><span class="yiyi-st" id="yiyi-2654">向Series / DataFrame.reset_index（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1797">GH1797</a>）添加inplace选项</span></li>
<li><span class="yiyi-st" id="yiyi-2655">将<code class="docutils literal"><span class="pre">level</span></code>参数添加到<code class="docutils literal"><span class="pre">Series.reset_index</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-2656">为DataFrame.to_csv添加引用选项（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1902">GH1902</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2657">在DataFrame输出中使用...指示长列值截断（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1854">GH1854</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2658">DataFrame.dot不会进行数据对齐，也可以使用Series（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1915">GH1915</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2659">在一些向量化字符串方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1689">GH1689</a>）中添加<code class="docutils literal"><span class="pre">na</span></code>选项</span></li>
<li><span class="yiyi-st" id="yiyi-2660">如果DataFrame.to_csv中的index_label = False，请不要在文本输出中打印字段/逗号。</span><span class="yiyi-st" id="yiyi-2661">更容易导入R（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1583">GH1583</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2662">可以将元组/轴列表传递给DataFrame.dropna，以简化重复调用（删除列和行）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/924">GH924</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2663">针对分层索引的行改进DataFrame.to_html输出（不重复级别）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1929">GH1929</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2664">TimeSeries.between_time现在可以选择跨午夜的时间（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1871">GH1871</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2665">在<cite>ExcelFile.parse</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1843">GH1843</a>）中启用<cite>skip_footer</cite>参数</span></li>
</ul>
</div>
<div class="section" id="id44">
<h3><span class="yiyi-st" id="yiyi-2666">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2667">将read_ *函数中的默认标题名更改为更多Pythonic X0，X1等。</span><span class="yiyi-st" id="yiyi-2668">而不是X.1，X.2。</span><span class="yiyi-st" id="yiyi-2669">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2000">GH2000</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2670">从PeriodIndex中删除已弃用的<code class="docutils literal"><span class="pre">day_of_year</span></code> API，请使用<code class="docutils literal"><span class="pre">dayofyear</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1723">GH1723</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2671">不要在导入时修改NumPy抑制打印</span></li>
<li><span class="yiyi-st" id="yiyi-2672">DataFrames的内部HDF5数据安排已被移调。</span><span class="yiyi-st" id="yiyi-2673">传统文件仍然可以由HDFStore（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1834">GH1834</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1824">GH1824</a>）读取</span></li>
<li><span class="yiyi-st" id="yiyi-2674">旧版本删除：pandas.stats.misc.quantileTS</span></li>
<li><span class="yiyi-st" id="yiyi-2675">对于期间期间使用ISO8601格式：每月，每日和向下（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1776">GH1776</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2676">空DataFrame列现在创建为对象dtype。</span><span class="yiyi-st" id="yiyi-2677">这将防止出现在代码中的TypeErrors类，其中列的dtype将取决于数据的存在（例如，具有结果的SQL查询）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1783">GH1783</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2678">使用ix设置DataFrame / Panel的部分现在对齐输入Series / DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1630">GH1630</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2679"><cite>GroupBy</cite>中的<cite>第一</cite>和<cite>最后</cite>方法不再删除非数字列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1809">GH1809</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2680">解决了在文本解析器中指定自定义NA值时出现的不一致。</span><span class="yiyi-st" id="yiyi-2681">类型dict的<cite>na_values</cite>不再覆盖默认NA，除非<cite>keep_default_na</cite>明确设置为false（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1657">GH1657</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2682">在文本解析器中将<cite>skipfooter</cite>参数用作<cite>skip_footer</cite>的别名</span></li>
</ul>
</div>
<div class="section" id="id45">
<h3><span class="yiyi-st" id="yiyi-2683">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2684">在混合类型DataFrame中逐列执行算术，以避免类型转换问题。</span><span class="yiyi-st" id="yiyi-2685">导致下游DataFrame.diff错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1896">GH1896</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2686">在没有自定义频谱通过时修复matplotlib自动颜色分配。</span><span class="yiyi-st" id="yiyi-2687">还要尊重传递的颜色关键字参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1711">GH1711</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2688">使用closed =&apos;left&apos;（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1726">GH1726</a>）修复重采样逻辑错误</span></li>
<li><span class="yiyi-st" id="yiyi-2689">修复关键DatetimeIndex.union错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1730">GH1730</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1719">GH1719</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1745">GH1745</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1702">GH1702</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1753">GH1753  t4 &gt;）</a></span></li>
<li><span class="yiyi-st" id="yiyi-2690">使用未锚定的偏移修正关键DatetimeIndex.intersection错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1708">GH1708</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2691">修复MM-YYYY时间系列索引大小写（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1672">GH1672</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2692">修复在GroupBy结果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1701">GH1701</a>）中分类组键未传递到索引中的情况</span></li>
<li><span class="yiyi-st" id="yiyi-2693">处理系列中的省略号.__ getitem __ / __ setitem__（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1721">GH1721</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2694">修复了处理NumPy 1.6和1.7中其他单元的datetime64标量的一些错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1717">GH1717</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2695">修复MultiIndex.format（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1746">GH1746</a>）中的性能问题</span></li>
<li><span class="yiyi-st" id="yiyi-2696">修复GroupBy错误与DatetimeIndex asof / map方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1677">GH1677</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2697">在pandas.rpy（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1615">GH1615</a>）中使用NAs处理因子</span></li>
<li><span class="yiyi-st" id="yiyi-2698">修复statsmodels import in pandas.stats.var（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1734">GH1734</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2699">使用非唯一列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1700">GH1700</a>）修复DataFrame repr / info摘要</span></li>
<li><span class="yiyi-st" id="yiyi-2700">修正非唯一索引的系列.iget_value（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1694">GH1694</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2701">在将DatetimeIndex传递为DataFrame列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1682">GH1682</a>）时，不要丢失tzinfo</span></li>
<li><span class="yiyi-st" id="yiyi-2702">使用从数组中第一个日期以后没有任何DST转换的时区（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1673">GH1673</a>）修复tz转换</span></li>
<li><span class="yiyi-st" id="yiyi-2703">使用UTC-&gt;在未排序数组上的本地转换修复字段访问（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1756">GH1756</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2704">修复类似数组（列表）输入（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1755">GH1755</a>）的isnull处理</span></li>
<li><span class="yiyi-st" id="yiyi-2705">修复系列处理中的回归构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1671">GH1671</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2706">修复Int64Index与DatetimeIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1681">GH1681</a>）的比较</span></li>
<li><span class="yiyi-st" id="yiyi-2707">修复在数组开始时在新的rolling_max / min中处理min_periods（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1695">GH1695</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2708">在由SeriesBinGrouper（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1648">GH1648</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1688">GH1688</a>）引起的某些情况下修正错误与如何=&apos;中值&apos;和通用NumPy重新采样</span></li>
<li><span class="yiyi-st" id="yiyi-2709">按级别分组时，排除未查看级别（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1697">GH1697</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2710">在按不同偏移量移动时（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1683">GH1683</a>），不要在DatetimeIndex中丢失tzinfo</span></li>
<li><span class="yiyi-st" id="yiyi-2711">Hack支持在HDFStore（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1707">GH1707</a>）中使用零长度轴存储数据</span></li>
<li><span class="yiyi-st" id="yiyi-2712">修复DatetimeIndex tz感知范围生成问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1674">GH1674</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2713">Fix method =&apos;time&apos;interpolation with intraday data（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1698">GH1698</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2714">不要将all-NA DataFrame列都绘制为零（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1696">GH1696</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2715">使用选项（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1716">GH1716</a>）修正scatter_plot中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2716">修复infer_freq中的许多非唯一标记（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1686">GH1686</a>）的性能问题</span></li>
<li><span class="yiyi-st" id="yiyi-2717">修复PeriodIndex作为创建MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1705">GH1705</a>）的参数的处理</span></li>
<li><span class="yiyi-st" id="yiyi-2718">修复：serial / DataFrame中的unicode MultiIndex级别名称repr（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1736">GH1736</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2719">处理to_datetime实例方法中的PeriodIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1703">GH1703</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2720">在DatetimeIndex基础架构中支持StaticTzInfo（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1692">GH1692</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2721">允许具有长度为0的其他类型索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1727">GH1727</a>）的MultiIndex setops</span></li>
<li><span class="yiyi-st" id="yiyi-2722">修复DataFrame.to_records（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1720">GH1720</a>）中DatetimeIndex的处理</span></li>
<li><span class="yiyi-st" id="yiyi-2723">修复了在bool（...）失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1749">GH1749</a>）的isnull中处理常规对象</span></li>
<li><span class="yiyi-st" id="yiyi-2724">使用MultiIndex歧义修正.ix索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1678">GH1678</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2725">修复.ix设置非唯一MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1750">GH1750</a>）的逻辑错误</span></li>
<li><span class="yiyi-st" id="yiyi-2726">基本索引现在适用于具有&gt; 1000000个元素的多索引，从早期版本的熊猫回归（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1757">GH1757</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2727">在快速DataFrame.corr / cov代码路径（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1761">GH1761</a>）中处理非float64类型</span></li>
<li><span class="yiyi-st" id="yiyi-2728">修复DatetimeIndex.isin以正常运行（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1763">GH1763</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2729">将具有tz感知datetime.datetime的数组的数据转换为带有正确时区的日期时间索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1777">GH1777</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2730">修正DST问题，包括生成内容日期范围（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1778">GH1778</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2731">修复问题调用排序的结果Series.unique（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1807">GH1807</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2732">修正在rolling_std（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1840">GH1840</a>）中导致负数平方根的数值问题</span></li>
<li><span class="yiyi-st" id="yiyi-2733">让Series.str.split不接受参数（如str.split）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1859">GH1859</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2734">允许用户在Python 2系统上安装dateutil 2.1（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1851">GH1851</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2735">在pandas / __ init__.py（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1845">GH1845</a>）中不太积极地捕获ImportError</span></li>
<li><span class="yiyi-st" id="yiyi-2736">修复从GitHub（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1805">GH1805</a>）安装时的pip源安装错误</span></li>
<li><span class="yiyi-st" id="yiyi-2737">在scroll_apply（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1850">GH1850</a>）中修复窗口大小&gt;数组大小时出错</span></li>
<li><span class="yiyi-st" id="yiyi-2738">通过SSH从GitHub修复pip源安装问题</span></li>
<li><span class="yiyi-st" id="yiyi-2739">当列为元组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1837">GH1837</a>）时修复OLS.summary</span></li>
<li><span class="yiyi-st" id="yiyi-2740">修复在将_OO传递给解释器（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1792">GH1792</a> <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1741">GH1741</a> <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1774">GH1774</a>）时在__doc__修补中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2741">修复IPython笔记本中的unicode控制台编码问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1782">GH1782</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1768">GH1768</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2742">修复Series.name（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1782">GH1782</a>）的Unicode格式问题</span></li>
<li><span class="yiyi-st" id="yiyi-2743">使用datetime64列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1833">GH1833</a>）修复DataFrame.duplicated中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2744">修复Panel内部的错误，导致错误，当做fillna后截断不改变面板的大小（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1823">GH1823</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2745">防止由于HDFStore表格格式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1848">GH1848</a>）不支持MultiIndex而导致的segfault</span></li>
<li><span class="yiyi-st" id="yiyi-2746">修复Panel .__ setitem__中的UnboundLocalError并添加更好的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1826">GH1826</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2747">修正与字符串条目列表的to_csv问题。</span><span class="yiyi-st" id="yiyi-2748">Isnull现在也在字符串列表中工作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1791">GH1791</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2749">修复时间戳比较与纳秒范围外的日期时间值（1677-2262）</span></li>
<li><span class="yiyi-st" id="yiyi-2750">回到之前的行为normalize_date与datetime.date对象（返回日期时间）</span></li>
<li><span class="yiyi-st" id="yiyi-2751">修复np.nansum和Series.any / all之间的破坏的交互</span></li>
<li><span class="yiyi-st" id="yiyi-2752">修正多列日期解析器的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1866">GH1866</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2753">DatetimeIndex.union（Int64Index）被打破</span></li>
<li><span class="yiyi-st" id="yiyi-2754">使绘图x vs y接口与整数索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1842">GH1842</a>）一致</span></li>
<li><span class="yiyi-st" id="yiyi-2755">set_index inplace已修改数据，即使唯一检查失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1831">GH1831</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2756">仅在季度频率推理中使用Q-OCT / NOV / DEC（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1789">GH1789</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2757">解压缩时dvert = dtype DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1820">GH1820</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2758">修复float64 / float32合并bug（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1849">GH1849</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2759">修正非每日频率（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1857">GH1857</a>）的Period.start_time</span></li>
<li><span class="yiyi-st" id="yiyi-2760">修复在index_col中使用的转换器在read_csv（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1835">GH1835</a>）中失败</span></li>
<li><span class="yiyi-st" id="yiyi-2761">实现PeriodIndex.append，使pandas.concat正常工作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1815">GH1815</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2762">避免Cython超出界限访问引起segfault有时在pad_2d，backfill_2d</span></li>
<li><span class="yiyi-st" id="yiyi-2763">修正重采样错误，其中日内时间和锚定目标时间（如AS-DEC）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1772">GH1772</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2764">使用混合整数索引修复.ix索引错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1799">GH1799</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2765">在Series.plot中传递color关键字参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1890">GH1890</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2766">当窗口大于输入数组的大小时，修正rolling_min / max。</span><span class="yiyi-st" id="yiyi-2767">检查其他格式错误的输入（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1899">GH1899</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1897">GH1897</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2768">滚动方差/标准偏差，在窗口中只有一个观察值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1884">GH1884</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2769">在to_excel（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1828">GH1828</a>）中修复unicode工作表名称失败</span></li>
<li><span class="yiyi-st" id="yiyi-2770">覆盖DatetimeIndex.min / max以返回时间戳对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1895">GH1895</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2771">修正长度截断列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1906">GH1906</a>）中的列名称格式问题</span></li>
<li><span class="yiyi-st" id="yiyi-2772">修复损坏的处理复制索引元数据到由NumPy基础设施内的view（...）调用创建的新实例</span></li>
<li><span class="yiyi-st" id="yiyi-2773">在DateOffset.rollback / rollforward中再次支持datetime.date</span></li>
<li><span class="yiyi-st" id="yiyi-2774">如果设置为传递给Series构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1913">GH1913</a>），则抛出异常</span></li>
<li><span class="yiyi-st" id="yiyi-2775">在追加HDFStore表时错误索引类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1881">GH1881</a>）时添加TypeError</span></li>
<li><span class="yiyi-st" id="yiyi-2776">不要在EW函数（例如ewma）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1900">GH1900</a>）中引发空输入的异常</span></li>
<li><span class="yiyi-st" id="yiyi-2777">使asof与PeriodIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1883">GH1883</a>）正确工作</span></li>
<li><span class="yiyi-st" id="yiyi-2778">修复doc构建中的extlinks</span></li>
<li><span class="yiyi-st" id="yiyi-2779">调用shift（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1814">GH1814</a>）时，使用NaN填充布尔数据框架</span></li>
<li><span class="yiyi-st" id="yiyi-2780">修复setuptools错误导致pip不有Cythonize .pyx文件有时</span></li>
<li><span class="yiyi-st" id="yiyi-2781">修复.ix中的负整数索引回归从0.7.x（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1888">GH1888</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2782">修复错误，同时检索时区和utc偏移从datetime.tzinfo没有.zone和._utcoffset属性（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1922">GH1922</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2783">修复小的非零FP数字（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1911">GH1911</a>）的DataFrame格式</span></li>
<li><span class="yiyi-st" id="yiyi-2784">通过上传日期 - &gt; datetime（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1395">GH1395</a>）的各种修复</span></li>
<li><span class="yiyi-st" id="yiyi-2785">在将多个具有相同名称的函数（例如lambdas）传递给GroupBy.aggregate时，提高更好的异常</span></li>
<li><span class="yiyi-st" id="yiyi-2786">在非唯一索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1878">GH1878</a>）上修复DataFrame.apply（轴= 1）</span></li>
<li><span class="yiyi-st" id="yiyi-2787">正确处理pandas.unique中的索引子类（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1759">GH1759</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2788">在DataFrame.from_records（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1744">GH1744</a>）中设置索引名称</span></li>
<li><span class="yiyi-st" id="yiyi-2789">修复时间序列索引错误与重复，哈希表大小截止（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1821">GH1821</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2790">在部分索引分层索引的DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1796">GH1796</a>）时，除了DataFrame.xs中的元组之外，还处理列表键</span></li>
<li><span class="yiyi-st" id="yiyi-2791">在DataFrame中支持多个列选择.__ getitem__具有重复的列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1943">GH1943</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2792">修复时区本地化错误，导致长时间没有UTC转换的时区（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1946">GH1946</a>）中的字段（例如小时）不正确</span></li>
<li><span class="yiyi-st" id="yiyi-2793">修复在解析和使用固定偏移时区（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1922">GH1922</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1928">GH1928</a>）时出现的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2794">在处理由dateutil（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1693">GH1693</a>）生成的UTC datetime对象时修复文本解析器错误</span></li>
<li><span class="yiyi-st" id="yiyi-2795">当“B”是推断的频率但指数实际上包含周末（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1668">GH1668</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1669">GH1669</a>）时修正绘图错误</span></li>
<li><span class="yiyi-st" id="yiyi-2796">修复绘图样式错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1666">GH1666</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1665">GH1665</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1658">GH1658</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2797">修正带有unicode的索引/列的绘图错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1685">GH1685</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2798">修复DataFrame构造函数错误在dict（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1680">GH1680</a>）中使用datetime64 dtype的系列</span></li>
<li><span class="yiyi-st" id="yiyi-2799">使用时区感知datetime.datetime（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1676">GH1676</a>）生成DatetimeIndex的固定回归</span></li>
<li><span class="yiyi-st" id="yiyi-2800">在打印具有重复列的连续DataFrames（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1675">GH1675</a>）时修复DataFrame错误</span></li>
<li><span class="yiyi-st" id="yiyi-2801">修正在绘制具有多个日内频率的时间系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1732">GH1732</a>）时的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2802">修复DataFrame.duplicated中的错误，以启用除列表类型之外的其他类型作为输入参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1773">GH1773</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2803">修复在传递lambdas列表作为<cite>如何</cite>参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1808">GH1808</a>）时的重新取样错误</span></li>
<li><span class="yiyi-st" id="yiyi-2804">Repr修复所有NAs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1971">GH1971</a>）的MultiIndex级别</span></li>
<li><span class="yiyi-st" id="yiyi-2805">修复PeriodIndex切片错误，当切片开始/结束超出边界（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1977">GH1977</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2806">修复read_table错误时解析unicode（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1975">GH1975</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2807">修复当处理非唯一MultiIndex作为列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1970">GH1970</a>）时的BlockManager.iget错误</span></li>
<li><span class="yiyi-st" id="yiyi-2808">修复reset_index错误，如果指定drop和level（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1957">GH1957</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2809">解决不安全的NumPy对象 - &gt;使用Cython函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1987">GH1987</a>）的int转换</span></li>
<li><span class="yiyi-st" id="yiyi-2810">在DataFrame.to_csv（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1993">GH1993</a>）中修正datetime64格式错误</span></li>
<li><span class="yiyi-st" id="yiyi-2811">将默认开始日期（pandas.io.data）设置为文档所指定的1/1/2000（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/2011">GH2011</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-8-1">
<h2><span class="yiyi-st" id="yiyi-2812">pandas 0.8.1</span></h2>
<p><span class="yiyi-st" id="yiyi-2813"><strong>发布日期：</strong> 2012年7月22日</span></p>
<div class="section" id="id46">
<h3><span class="yiyi-st" id="yiyi-2814">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2815">向Vector（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1621">GH1621</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/620">GH620</a>）添加矢量化，NA友好的字符串方法</span></li>
<li><span class="yiyi-st" id="yiyi-2816">可以将每列的行样式的dict传递给DataFrame.plot（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1559">GH1559</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2817">在相同子图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1640">GH1640</a>）上选择绘制到次要y轴</span></li>
<li><span class="yiyi-st" id="yiyi-2818">添加新的<code class="docutils literal"><span class="pre">bootstrap_plot</span></code>绘图函数</span></li>
<li><span class="yiyi-st" id="yiyi-2819">添加新<code class="docutils literal"><span class="pre">parallel_coordinates</span></code>绘图函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1488">GH1488</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2820">添加<code class="docutils literal"><span class="pre">radviz</span></code>绘图函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1566">GH1566</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2821">将<code class="docutils literal"><span class="pre">multi_sparse</span></code>选项添加到<code class="docutils literal"><span class="pre">set_printoptions</span></code>，以修改分层索引的显示（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1538">GH1538</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2822">将<code class="docutils literal"><span class="pre">dropna</span></code>方法添加到面板（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/171">GH171</a>）</span></li>
</ul>
</div>
<div class="section" id="id47">
<h3><span class="yiyi-st" id="yiyi-2823">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2824">使用移动最小/最大算法从Bottleneck在rolling_min / rolling_max&gt; 100倍加速。</span><span class="yiyi-st" id="yiyi-2825">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1504">GH1504</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/50">GH50</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2826">添加Cython组中位数方法，用于&gt; 15倍速加速（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1358">GH1358</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2827">彻底改善ISO8601日期时间字符串（没有时区）上的<code class="docutils literal"><span class="pre">to_datetime</span></code>性能（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1571">GH1571</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2828">提高大数据集上的单键组性能，加快使用分类变量的groupby</span></li>
<li><span class="yiyi-st" id="yiyi-2829">添加使用<code class="docutils literal"><span class="pre">set_index</span></code>附加层次索引级别并使用<code class="docutils literal"><span class="pre">reset_index</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1569">GH1569</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1577">GH1577</a>）删除单个级别的功能</span></li>
<li><span class="yiyi-st" id="yiyi-2830">始终在<code class="docutils literal"><span class="pre">resample</span></code>中应用传递的函数，即使上采样（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1596">GH1596</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2831">避免在DataFrame构造函数中使用显式dtype（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1572">GH1572</a>）不必要的副本</span></li>
<li><span class="yiyi-st" id="yiyi-2832">具有1或2个元素（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1611">GH1611</a>）的清除程序DatetimeIndex字符串表示形式</span></li>
<li><span class="yiyi-st" id="yiyi-2833">将期间数组的性能提高到PeriodIndex，将这些数组转换为IndexIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1215">GH1215</a>）内的PeriodIndex</span></li>
<li><span class="yiyi-st" id="yiyi-2834">周期对象的更多信息字符串表示形式（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1503">GH1503</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2835">从同类面板加速3轴多数据选择（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/979">GH979</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2836">将<code class="docutils literal"><span class="pre">adjust</span></code>选项添加到ewma以禁用调整系数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1584">GH1584</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2837">添加新的matplotlib转换器用于高频时间序列绘图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1599">GH1599</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2838">在to_datetime中处理tz感知的datetime.datetime对象； raise Exception unless utc = True given（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1581">GH1581</a>）</span></li>
</ul>
</div>
<div class="section" id="id48">
<h3><span class="yiyi-st" id="yiyi-2839">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2840">修复DataFrame.to_panel（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1582">GH1582</a>）中的NA处理</span></li>
<li><span class="yiyi-st" id="yiyi-2841">处理PyObject_RichCompareBool中的TypeError问题调用khash（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1318">GH1318</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2842">将重新取样错误修正为小写每日频率（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1588">GH1588</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2843">修复kendall / spearman DataFrame.corr错误，没有重叠（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1595">GH1595</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2844">修正DataFrame.set_index（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1592">GH1592</a>）中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-2845">如果指定（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1565">GH1565</a>），则不要忽略箱线图中的轴</span></li>
<li><span class="yiyi-st" id="yiyi-2846">修复面板.ix整数索引编制错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1603">GH1603</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2847">修复部分索引错误（年，月，...）与PeriodIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1601">GH1601</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2848">修正MultiIndex控制台格式问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1606">GH1606</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2849">具有重复项的无序索引不会为单个条目生成标量位置（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1586">GH1586</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2850">使用“锚定”频率（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1591">GH1591</a>）修复tz感知时间序列的重新采样</span></li>
<li><span class="yiyi-st" id="yiyi-2851">修复整数数据上的DataFrame.rank错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1589">GH1589</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2852">通过__getitem__中的列表选择多个SparseDataFrame列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1585">GH1585</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2853">覆盖Index.tolist以与MultiIndex兼容（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1576">GH1576</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2854">修复长度为1的MultiIndex的层次求和错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1568">GH1568</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2855">解决在Series.set_value（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1561">GH1561</a>）中的numpy.concatenate use / bug</span></li>
<li><span class="yiyi-st" id="yiyi-2856">确保系列/ DataFrame在重新采样之前进行排序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1580">GH1580</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2857">在索引非常大的时间系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1562">GH1562</a>）时修复未处理的IndexError</span></li>
<li><span class="yiyi-st" id="yiyi-2858">修正DatetimeIndex交叉逻辑错误与不规则索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1551">GH1551</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2859">修正Python 3上的单元测试错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1550">GH1550</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2860">将.ix索引错误修复为重复的DataFrame索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1201">GH1201</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2861">更好地处理HDFStore中不存在的对象的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1254">GH1254</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2862">当copy = False（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1624">GH1624</a>）时，不要在DatetimeIndex中复制int64数组数据</span></li>
<li><span class="yiyi-st" id="yiyi-2863">将符合期间每季度重新取样（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1622">GH1622</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2864">重新取样时不要丢失索引名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1631">GH1631</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2865">支持python-dateutil版本2.1（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1637">GH1637</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2866">修复损坏的scatter_matrix轴标签，esp。</span><span class="yiyi-st" id="yiyi-2867">与时间序列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1625">GH1625</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2868">修复了额外的关键字没有从Series.plot传递到matplotlib的情况（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1636">GH1636</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2869">修正每月第1个bday之前的日期的BusinessMonthBegin逻辑（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1645">GH1645</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2870">确保在DataFrame.xs / __getitem__（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1644">GH1644</a>）中转换字符串别名（在DatetimeIndex.get_loc中有效）</span></li>
<li><span class="yiyi-st" id="yiyi-2871">修复使用具有tz感知时间系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1647">GH1647</a>）的字符串别名时间戳</span></li>
<li><span class="yiyi-st" id="yiyi-2872">修复系列.max / min和Series.describe在len-0系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1650">GH1650</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2873">Handle无法将dict中的值传递给concat（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1649">GH1649</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2874">使用method =&apos;values&apos;和DatetimeIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1646">GH1646</a>）修复Series.interpolate</span></li>
<li><span class="yiyi-st" id="yiyi-2875">修复在具有0长度（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1628">GH1628</a>）的DataFrame上的左合并中的IndexError</span></li>
<li><span class="yiyi-st" id="yiyi-2876">使用UTF-8编码字符（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1620">GH1620</a>）修复DataFrame列宽度显示</span></li>
<li><span class="yiyi-st" id="yiyi-2877">在pandas.io.data.get_data_yahoo中处理case</span><span class="yiyi-st" id="yiyi-2878">返回最近一个工作日的重复日期</span></li>
<li><span class="yiyi-st" id="yiyi-2879">避免在同一子图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1619">GH1619</a>）上绘制混合频率时进行下采样</span></li>
<li><span class="yiyi-st" id="yiyi-2880">修正read_csv读取单行时的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1553">GH1553</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2881">修复C代码中的错误，导致1969年12月以前的每月期间关闭（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1570">GH1570</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-8-0">
<h2><span class="yiyi-st" id="yiyi-2882">pandas 0.8.0</span></h2>
<p><span class="yiyi-st" id="yiyi-2883"><strong>发布日期：</strong> 6/29/2012</span></p>
<div class="section" id="id49">
<h3><span class="yiyi-st" id="yiyi-2884">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2885">新的统一DatetimeIndex类的纳秒级时间戳数据</span></li>
<li><span class="yiyi-st" id="yiyi-2886">新时间戳datetime.datetime子类，具有简单的时区转换，并支持纳秒</span></li>
<li><span class="yiyi-st" id="yiyi-2887">时间跨度，日历逻辑和期间标量对象的新PeriodIndex类</span></li>
<li><span class="yiyi-st" id="yiyi-2888">时间戳和周期数据的高性能重采样。</span><span class="yiyi-st" id="yiyi-2889">所有pandas数据结构的新<cite>resample</cite>方法</span></li>
<li><span class="yiyi-st" id="yiyi-2890">新的频率名称加快捷字符串别名，如&apos;15h&apos;，&apos;1h30min&apos;</span></li>
<li><span class="yiyi-st" id="yiyi-2891">时间序列字符串索引速记（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/222">GH222</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2892">将星期，dayofyear数组和其他时间戳数组值字段访问器函数添加到DatetimeIndex</span></li>
<li><span class="yiyi-st" id="yiyi-2893">添加GroupBy.prod优化聚合函数和&apos;prod&apos;快速时间序列转换方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1018">GH1018</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2894">在DatetimeIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/391">GH391</a>）上实施鲁棒频率推理函数和<cite>inferred_freq</cite>属性</span></li>
<li><span class="yiyi-st" id="yiyi-2895">Series / DataFrame中的新<code class="docutils literal"><span class="pre">tz_convert</span></code>和<code class="docutils literal"><span class="pre">tz_localize</span></code>方法</span></li>
<li><span class="yiyi-st" id="yiyi-2896">如果时区在join / setops中不同，则将DatetimeIndexes转换为UTC（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/864">GH864</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2897">为向前/向后填充向reindex，fillna等添加limit参数</span><span class="yiyi-st" id="yiyi-2898">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/825">GH825</a>和其他）</span></li>
<li><span class="yiyi-st" id="yiyi-2899">添加对索引（日期或其他）的支持，包括重复和常识索引/选择功能</span></li>
<li><span class="yiyi-st" id="yiyi-2900">Series / DataFrame.update方法，combine_first（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/961">GH961</a>）的就地变体</span></li>
<li><span class="yiyi-st" id="yiyi-2901">将<code class="docutils literal"><span class="pre">match</span></code>函数添加到API（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/502">GH502</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2902">将Cython优化的first，last，min，max，prod函数添加到GroupBy（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/994">GH994</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1043">GH1043</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2903">日期可拆分为多个列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1227">GH1227</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1186">GH1186</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2904">添加实验支持，通过rpy2（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/350">GH350</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1212">GH1212</a>）将pandas DataFrame转换为R data.frame</span></li>
<li><span class="yiyi-st" id="yiyi-2905">可以将（名称，函数）列表传递给GroupBy.aggregate以按特定顺序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/610">GH610</a>）获取聚合</span></li>
<li><span class="yiyi-st" id="yiyi-2906">可以将具有函数或者词典列表的词典传递给GroupBy聚合，以进行更灵活的多功能聚合（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/642">GH642</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/610">GH610</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2907">用于将DataFrames与有序数据合并的新的ordered_merge函数。</span><span class="yiyi-st" id="yiyi-2908">还支持面板数据的组合并（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/813">GH813</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2909">将keys()方法添加到DataFrame</span></li>
<li><span class="yiyi-st" id="yiyi-2910">添加灵活的替换方法，将潜在值替换为Series和DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/929">GH929</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1241">GH1241</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2911">为Series / DataFrame.plot添加&apos;kde&apos;绘图类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1059">GH1059</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2912">使用GroupBy更灵活的多功能聚合</span></li>
<li><span class="yiyi-st" id="yiyi-2913">将pct_change函数添加到Series / DataFrame</span></li>
<li><span class="yiyi-st" id="yiyi-2914">添加选项以通过Series.interpolate（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1206">GH1206</a>）中的索引值进行插值</span></li>
<li><span class="yiyi-st" id="yiyi-2915">为DataFrame添加<code class="docutils literal"><span class="pre">max_colwidth</span></code>选项，默认值为50</span></li>
<li><span class="yiyi-st" id="yiyi-2916">将DataFrame通过rpy2转换为R data.frame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1282">GH1282</a>，）</span></li>
<li><span class="yiyi-st" id="yiyi-2917">在DataFrame上添加keys()方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1240">GH1240</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2918">将新的<code class="docutils literal"><span class="pre">match</span></code>函数添加到API（类似于R）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/502">GH502</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2919">向解析器添加dayfirst选项（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/854">GH854</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2920">将<code class="docutils literal"><span class="pre">method</span></code>参数添加到<code class="docutils literal"><span class="pre">align</span></code>方法，用于前进/后退填充（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/216">GH216</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2921">添加Panel.transpose方法用于重新排列轴（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/695">GH695</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2922">添加新的<code class="docutils literal"><span class="pre">cut</span></code>函数（在R之后进行图案化），用于将数据离散为相等的范围长度bin或您选择的任意断点（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/415">GH415</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2923">添加新的<code class="docutils literal"><span class="pre">qcut</span></code>用于分割（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1378">GH1378</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2924">添加<code class="docutils literal"><span class="pre">value_counts</span></code>顶级数组方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1392">GH1392</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2925">添加了Andrews曲线plot tupe（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1325">GH1325</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2926">添加滞后图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1440">GH1440</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2927">添加autocorrelation_plot（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1425">GH1425</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2928">添加对tox和Travis CI的支持（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1382">GH1382</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2929">添加对GroupBy中分类使用的支持（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/292">GH292</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2930">将<code class="docutils literal"><span class="pre">any</span></code>和<code class="docutils literal"><span class="pre">all</span></code>方法添加到DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1416">GH1416</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2931">将<code class="docutils literal"><span class="pre">secondary_y</span></code>选项添加到Series.plot</span></li>
<li><span class="yiyi-st" id="yiyi-2932">添加实验<code class="docutils literal"><span class="pre">lreshape</span></code>函数，用于将宽度重新整形为长整型</span></li>
</ul>
</div>
<div class="section" id="id50">
<h3><span class="yiyi-st" id="yiyi-2933">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2934">在索引类中切换到基于klib / khash的哈希表，以在许多情况下获得更好的性能并降低内存占用</span></li>
<li><span class="yiyi-st" id="yiyi-2935">从scipy.stats装运一些函数，以减少依赖，例如。 Series.describe和DataFrame.describe（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1092">GH1092</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2936">可以通过将列表或数组列表传递给Series，DataFrame构造函数等来创建MultiIndex。</span><span class="yiyi-st" id="yiyi-2937">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/831">GH831</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2938">可以将数组和列名称一起传递给DataFrame.set_index（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/402">GH402</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2939">通过显着边距（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/836">GH836</a>）提高同构DataFrame对象的“方形”重建索引的速度</span></li>
<li><span class="yiyi-st" id="yiyi-2940">在DataFrame构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/406">GH406</a>）中传递MaskedArrays时处理更多的类型</span></li>
<li><span class="yiyi-st" id="yiyi-2941">改进整数键连接操作的性能（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/682">GH682</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2942">可以将多个列传递给GroupBy对象，例如grouping [[col1，col2]]仅聚合值列的子集（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/383">GH383</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2943">为scatter_matrix对角线添加histogram / kde图选项（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1237">GH1237</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2944">为Series / DataFrame.rename和sort_index，DataFrame.drop_duplicates（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/805">GH805</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/207">GH207</a>）添加inplace选项</span></li>
<li><span class="yiyi-st" id="yiyi-2945">更多有用的错误消息，当没有传递到Series.reindex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1267">GH1267</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2946">可以将数组和标量作为dict-value输入混合到DataFrame ctor（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1329">GH1329</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2947">在图表中使用DataFrame列的名称作为图例标题</span></li>
<li><span class="yiyi-st" id="yiyi-2948">在可能的情况下在布尔索引操作中保留DatetimeIndex中的频率</span></li>
<li><span class="yiyi-st" id="yiyi-2949">在数据对齐操作中（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/867">GH867</a>）提升datetime.date值</span></li>
<li><span class="yiyi-st" id="yiyi-2950">将<code class="docutils literal"><span class="pre">order</span></code>方法添加到索引类（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1028">GH1028</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2951">避免在大型单调散列表索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1160">GH1160</a>）中创建散列表</span></li>
<li><span class="yiyi-st" id="yiyi-2952">在HDFStore中存储时区（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1232">GH1232</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2953">启用HDFStore中稀疏数据结构的存储（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/85">GH85</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2954">启用S​​eries.asof以处理时间戳输入数组</span></li>
<li><span class="yiyi-st" id="yiyi-2955">DataFrame.corr的Cython实现的速度提高了&gt; 100x（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1349">GH1349</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1354">GH1354</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2956">在GroupBy.transform（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1364">GH1364</a>）中自动排除“nuisance”列</span></li>
<li><span class="yiyi-st" id="yiyi-2957">在GroupBy.transform（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1362">GH1362</a>）中支持函数作为字符串</span></li>
<li><span class="yiyi-st" id="yiyi-2958">在图中使用索引名称为xlabel / ylabel（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1415">GH1415</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2959">将<code class="docutils literal"><span class="pre">convert_dtype</span></code>选项添加到Series.apply，以便能够将数据保留为dtype = object（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1414">GH1414</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2960">可以在concat中指定所有索引级别名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1419">GH1419</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2961">将<code class="docutils literal"><span class="pre">dialect</span></code>关键字添加到解析器以引用约定（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1363">GH1363</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2962">启用DataFrame [bool_DataFrame] + =值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1366">GH1366</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2963">为<code class="docutils literal"><span class="pre">get_data_yahoo</span></code>添加<code class="docutils literal"><span class="pre">retries</span></code>参数，以尝试阻止Yahoo!</span><span class="yiyi-st" id="yiyi-2964">API 404s（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/826">GH826</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2965">通过使用O（N）分类排序来提高重整的性能</span></li>
<li><span class="yiyi-st" id="yiyi-2966">如果没有索引传递（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1494">GH1494</a>），系列名称将用于DataFrame的索引</span></li>
<li><span class="yiyi-st" id="yiyi-2967">DataFrame.to_csv中的头参数可以接受要使用的列名称列表，而不是对象的列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/921">GH921</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2968">将<code class="docutils literal"><span class="pre">raise_conflict</span></code>参数添加到DataFrame.update（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1526">GH1526</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2969">支持ExcelFile中的类文件对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1529">GH1529</a>）</span></li>
</ul>
</div>
<div class="section" id="id51">
<h3><span class="yiyi-st" id="yiyi-2970">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2971">将<cite>pandas._tseries</cite>重命名为<cite>pandas.lib</cite></span></li>
<li><span class="yiyi-st" id="yiyi-2972">将因子重命名为分类并添加改进。</span><span class="yiyi-st" id="yiyi-2973">许多分类错误修复</span></li>
<li><span class="yiyi-st" id="yiyi-2974">频率名称大修，WEEKDAY / EOM和@已弃用的规则。</span><span class="yiyi-st" id="yiyi-2975">get_legacy_offset_name添加了向后兼容性功能</span></li>
<li><span class="yiyi-st" id="yiyi-2976">在DataFrame中增加ValueError .__ nonzero__，因此“if df”不再有效（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1073">GH1073</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2977">默认情况下，更改BDay（工作日）以不将日期标准化（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/506">GH506</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2978">删除不建议使用的DataMatrix名称</span></li>
<li><span class="yiyi-st" id="yiyi-2979">用于重叠的默认合并后缀现在具有下划线，而不是句号，以方便选项卡完成等。</span><span class="yiyi-st" id="yiyi-2980">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1239">GH1239</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2981">在整个代码库中不再使用offset，time_rule timeRule参数</span></li>
<li><span class="yiyi-st" id="yiyi-2982">默认情况下，Series.append和DataFrame.append不再检查重复的索引，添加verify_integrity参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1394">GH1394</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2983">Refactor因子类，旧的构造函数移动到Factor.from_array</span></li>
<li><span class="yiyi-st" id="yiyi-2984">MultiIndex的修改内部在内部使用更少的内存（不再表示为元组数组），加快构建时间和许多构造中间分层索引的方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1467">GH1467</a>）</span></li>
</ul>
</div>
<div class="section" id="id52">
<h3><span class="yiyi-st" id="yiyi-2985">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-2986">通过切换到datetime64（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/179">GH179</a>），修复OverflowError在HDFStore中存储1970年之前的日期</span></li>
<li><span class="yiyi-st" id="yiyi-2987">修复二月闰年结束在YearEnd偏移中的逻辑错误</span></li>
<li><span class="yiyi-st" id="yiyi-2988">系列（[False，nan]）被转换为float64（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1074">GH1074</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2989">修复boolean系列和带有布尔值和NA的对象系列之间的二进制运算（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1074">GH1074</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1079">GH1079</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2990">无法通过.ix（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1142">GH1142</a>）将整个数组分配给混合类型DataFrame中的列</span></li>
<li><span class="yiyi-st" id="yiyi-2991">修正浮点索引值的标签分片问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1167">GH1167</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2992">修复由传递给groupby的空组引起的segfault（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1048">GH1048</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2993">在有NaN标签（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/522">GH522</a>）的情况下修复偶尔不正确的重建索引</span></li>
<li><span class="yiyi-st" id="yiyi-2994">修复不精确的逻辑，导致.apply（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1183">GH1183</a>）的奇怪系列结果</span></li>
<li><span class="yiyi-st" id="yiyi-2995">一次取消堆叠多个级别，在某些情况下避免空列。</span><span class="yiyi-st" id="yiyi-2996">修复数据透视表错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1181">GH1181</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-2997">当索引名称与标签（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1217">GH1217</a>）一致时，修复Series / DataFrame上MultiIndex的格式</span></li>
<li><span class="yiyi-st" id="yiyi-2998">将Excel 2003＃N / A作为NaN从xlrd（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1213">GH1213</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1225">GH1225</a>）处理</span></li>
<li><span class="yiyi-st" id="yiyi-2999">通过移动到datetime64表示（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1081">GH1081</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/809">GH809</a>）来修复与HDFStore相关的时间戳区域设置相关反序列化问题</span></li>
<li><span class="yiyi-st" id="yiyi-3000">修复DataFrame.duplicated / drop_duplicates NA值处理（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/557">GH557</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3001">实际上在快速还原器中引发异常（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1243">GH1243</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3002">修复0.7.3（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/969">GH969</a>）的各种时区处理错误</span></li>
<li><span class="yiyi-st" id="yiyi-3003">GroupBy on level = 0丢弃索引名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1313">GH1313</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3004">更好的错误消息与不可编辑的DataFrames（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1307">GH1307</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3005">使用unicode索引值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1279">GH1279</a>）的系列.__ repr__对齐方式</span></li>
<li><span class="yiyi-st" id="yiyi-3006">如果没有任何内容传递给reindex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1267">GH1267</a>），则会显示更好的错误消息</span></li>
<li><span class="yiyi-st" id="yiyi-3007">DataFrame.drop_duplicates中更稳健的NA处理（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/557">GH557</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3008">解决基于语言区域和前时代的HDF5时间戳反序列化问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/973">GH973</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1081">GH1081</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/179">GH179</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3009">实现Series.repeat（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1229">GH1229</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3010">使用namedtuple和其他元组子类（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1026">GH1026</a>）修复索引</span></li>
<li><span class="yiyi-st" id="yiyi-3011">修复float64切片错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1167">GH1167</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3012">使用逗号（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/796">GH796</a>）解析整数</span></li>
<li><span class="yiyi-st" id="yiyi-3013">修复groupby不正确的数据类型，当组由一个值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1065">GH1065</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3014">修正由浮点误差（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1090">GH1090</a>）导致的纳瓦中的负方差可能性</span></li>
<li><span class="yiyi-st" id="yiyi-3015">一致地设置组件上的名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/184">GH184</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3016">将dict返回值视为GroupBy.apply中的序列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/823">GH823</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3017">在GroupBy.transform（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1365">GH1365</a>）中确定DataFrame的列选择</span></li>
<li><span class="yiyi-st" id="yiyi-3018">修复MultiIndex部分索引错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1352">GH1352</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3019">通过.ix（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1432">GH1432</a>）启用混合类型DataFrame中的行分配</span></li>
<li><span class="yiyi-st" id="yiyi-3020">在分组时重置索引映射Cython中的系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1423">GH1423</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3021">使用非唯一索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1421">GH1421</a>）修复外部/内部DataFrame.join</span></li>
<li><span class="yiyi-st" id="yiyi-3022">修复MultiIndex groupby具有空的低级别的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1401">GH1401</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3023">使用系列调用fillna将具有与dict（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1486">GH1486</a>）相同的行为</span></li>
<li><span class="yiyi-st" id="yiyi-3024">SparseSeries减少错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1375">GH1375</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3025">修复HDFStore中的unicode序列化问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1361">GH1361</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3026">将关键字传递到DataFrame.boxplot（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1493">GH1493</a>）中的pyplot.boxplot</span></li>
<li><span class="yiyi-st" id="yiyi-3027">MonthBegin中的错误修复（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1483">GH1483</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3028">在下拉菜单中保留MultiIndex名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1513">GH1513</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3029">Fix Panel DataFrame切片分配错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1533">GH1533</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3030">不要在read_ *函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1547">GH1547</a>）中使用locals()</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-7-3">
<h2><span class="yiyi-st" id="yiyi-3031">pandas 0.7.3</span></h2>
<p><span class="yiyi-st" id="yiyi-3032"><strong>发布日期：</strong> 2012年4月12日</span></p>
<div class="section" id="id53">
<h3><span class="yiyi-st" id="yiyi-3033">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3034">支持非唯一索引：索引和选择，多对一和多对多连接（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1306">GH1306</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3035">已添加固定宽度文件阅读器，read_fwf（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/952">GH952</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3036">将group_keys参数添加到groupby，以便在apply（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/938">GH938</a>）的结果中不将组名称添加到MultiIndex</span></li>
<li><span class="yiyi-st" id="yiyi-3037">DataFrame现在可以接受非整数标签分片（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/946">GH946</a>）。</span><span class="yiyi-st" id="yiyi-3038">以前只有DataFrame.ix能够这样做。</span></li>
<li><span class="yiyi-st" id="yiyi-3039">DataFrame.apply现在保留Series对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/983">GH983</a>）上的名称属性</span></li>
<li><span class="yiyi-st" id="yiyi-3040">与非数字值的数值数据框架比较现在引起正确的TypeError（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/943">GH943</a>）。</span><span class="yiyi-st" id="yiyi-3041">以前提出“PandasError：DataFrame构造函数未正确调用！</span></li>
<li><span class="yiyi-st" id="yiyi-3042">将<code class="docutils literal"><span class="pre">kurt</span></code>方法添加到Series和DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/964">GH964</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3043">可以传递列的dict  - &gt; list / set文本解析器的NA值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/754">GH754</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3044">允许用户在文本解析器中指定NA值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/754">GH754</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3045">解析器检查openpyxl依赖关系，如果找不到则会引发ImportError（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1007">GH1007</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3046">新的工厂函数创建HDFStore对象，可以在with语句中使用，因此用户不必显式调用HDFStore.close（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1005">GH1005</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3047">pivot_table现在更灵活，具有与groupby相同的参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/941">GH941</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3048">添加堆叠棒图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/987">GH987</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3049">pandas / tools / plotting.py中的scatter_matrix方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/935">GH935</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3050">DataFrame.boxplot返回事后样式的绘图结果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/985">GH985</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3051">短版本号可访问为pandas.version.short_version（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/930">GH930</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3052">panel.to_frame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/942">GH942</a>）中的其他文档</span></li>
<li><span class="yiyi-st" id="yiyi-3053">更多信息Series.apply docstring关于元素适用（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/977">GH977</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3054">rpy2安装注意事项（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1006">GH1006</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3055">向hist方法添加旋转和字体大小选项（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1012">GH1012</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3056">在OLS.y_predict的结果中使用外生/ X变量索引。</span><span class="yiyi-st" id="yiyi-3057">添加OLS.predict方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1027">GH1027</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1008">GH1008</a>）</span></li>
</ul>
</div>
<div class="section" id="id54">
<h3><span class="yiyi-st" id="yiyi-3058">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3059">呼叫适用于分组系列，例如describe()，将不再生成DataFrame默认情况下。</span><span class="yiyi-st" id="yiyi-3060">将必须调用unstack()来获取先前的行为</span></li>
<li><span class="yiyi-st" id="yiyi-3061">在非数字比较中的NA处理已经收紧（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/933">GH933</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/953">GH953</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3062">不再分配虚名称key_0，key_1等。</span><span class="yiyi-st" id="yiyi-3063">到groupby索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1291">GH1291</a>）</span></li>
</ul>
</div>
<div class="section" id="id55">
<h3><span class="yiyi-st" id="yiyi-3064">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3065">在使用MultiIndex索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1013">GH1013</a>）选择DataFrame中的行的一部分时修复逻辑错误</span></li>
<li><span class="yiyi-st" id="yiyi-3066">与不同长度系列的系列比较导致崩溃（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1016">GH1016</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-3067">修复选择分层索引行（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1013">GH1013</a>）部分时的索引编制错误</span></li>
<li><span class="yiyi-st" id="yiyi-3068">DataFrame.plot（logy = True）没有效果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1011">GH1011</a>）。</span></li>
<li><span class="yiyi-st" id="yiyi-3069">SparsePanel-Panel（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1015">GH1015</a>）之间的算术运算</span></li>
<li><span class="yiyi-st" id="yiyi-3070">具有非ASCII字符（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1010">GH1010</a>）的MultiIndex中的Unicode repr问题</span></li>
<li><span class="yiyi-st" id="yiyi-3071">如果完全匹配不存在，则DataFrame.lookup()返回不一致的结果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1001">GH1001</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3072">DataFrame算术运算不处理无NA（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/992">GH992</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3073">DataFrameGroupBy.apply返回不正确的结果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/991">GH991</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3074">Series.reshape对于多个维度返回不正确的结果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/989">GH989</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3075">Series.std和Series.var忽略ddof参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/934">GH934</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3076">DataFrame.append丢失索引名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/980">GH980</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3077">DataFrame.plot（kind =&apos;bar&apos;）忽略颜色参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/958">GH958</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3078">指数比较结果不一致（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/948">GH948</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3079">从包含NaN的数据（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/846">GH846</a>）构造不正确的数据框架</span></li>
<li><span class="yiyi-st" id="yiyi-3080">删除groupby结果中的默认“result”名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/995">GH995</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3081">DataFrame.from_record不再突变输入列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/975">GH975</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3082">分组时使用索引名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/1313">GH1313</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-7-2">
<h2><span class="yiyi-st" id="yiyi-3083">pandas 0.7.2</span></h2>
<p><span class="yiyi-st" id="yiyi-3084"><strong>发布日期：</strong> 2012年3月16日</span></p>
<div class="section" id="id56">
<h3><span class="yiyi-st" id="yiyi-3085">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3086">在DataFrame.rank中添加其他打破方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/874">GH874</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3087">添加升序参数以排序为Series，DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/875">GH875</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3088">添加sort_columns参数以允许未排序的图（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/918">GH918</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3089">GroupBy对象上的IPython选项卡完成</span></li>
</ul>
</div>
<div class="section" id="id57">
<h3><span class="yiyi-st" id="yiyi-3090">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3091">当对空序列调用时，Series.sum返回0而不是NA。</span><span class="yiyi-st" id="yiyi-3092">类似地，对于行或列的长度为0（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/844">GH844</a>）的DataFrame</span></li>
</ul>
</div>
<div class="section" id="id58">
<h3><span class="yiyi-st" id="yiyi-3093">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3094">不要在Grouper.size中使用groups dict（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/860">GH860</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3095">对Series.value_counts使用khash，向algorithms.py（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/861">GH861</a>）中添加原始函数</span></li>
<li><span class="yiyi-st" id="yiyi-3096">通过GroupBy（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/882">GH882</a>）上的属性启用列访问</span></li>
<li><span class="yiyi-st" id="yiyi-3097">通过DataFrame，Panel（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/883">GH883</a>）上的属性启用设置现有列</span></li>
<li><span class="yiyi-st" id="yiyi-3098">拦截__builtin __。groupby中的总和（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/885">GH885</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3099">可以将dict传递给DataFrame.fillna，以便每列使用不同的值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/661">GH661</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3100">可以通过传递.ix中的值列表来选择多个层次组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/134">GH134</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3101">将级别关键字添加到<code class="docutils literal"><span class="pre">drop</span></code>以从级别中删除值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/159">GH159</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3102">在DataFrame.from_records（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/893">GH893</a>）上添加<code class="docutils literal"><span class="pre">coerce_float</span></code>选项</span></li>
<li><span class="yiyi-st" id="yiyi-3103">如果传递的date_parser在<code class="docutils literal"><span class="pre">read_csv</span></code>中失败，则抛出异常</span></li>
<li><span class="yiyi-st" id="yiyi-3104">将<code class="docutils literal"><span class="pre">axis</span></code>选项添加到DataFrame.fillna（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/174">GH174</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3105">修复面板以使其更容易子类化（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/888">GH888</a>）</span></li>
</ul>
</div>
<div class="section" id="id59">
<h3><span class="yiyi-st" id="yiyi-3106">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3107">修复groupby中溢出相关的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/850">GH850</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/851">GH851</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3108">修正解析器中无效的错误讯息（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/856">GH856</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3109">更好的错误msg数据帧的失败布尔切片（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/859">GH859</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3110">Series.count不能在级参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/869">GH869</a>）中接受字符串（级别名称）</span></li>
<li><span class="yiyi-st" id="yiyi-3111">组索引平台int检查（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/870">GH870</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3112">concat on axis = 1和ignore_index = True会引发TypeError（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/871">GH871</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3113">其他unicode处理问题已解决（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/795">GH795</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3114">修复Panel中基于多索引的访问失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/880">GH880</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3115">修复DataFrame布尔切片分配失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/881">GH881</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3116">修复SparseDataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/887">GH887</a>）的combineAdd NotImplementedError</span></li>
<li><span class="yiyi-st" id="yiyi-3117">修正DataFrame.to_html编码和栏（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/890">GH890</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/891">GH891</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/909">GH909</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3118">修复混合类型DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/910">GH910</a>）中的无效填充处理</span></li>
<li><span class="yiyi-st" id="yiyi-3119">修正DataFrame.set_value与不存在的行/ col（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/911">GH911</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3120">在排除妨碍列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/916">GH916</a>）时修复groupby中的格式错误的块</span></li>
<li><span class="yiyi-st" id="yiyi-3121">修复dtype =对象数组中的不一致NA处理（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/925">GH925</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3122">修复ewmcov（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/862">GH862</a>）中缺少质心计算</span></li>
<li><span class="yiyi-st" id="yiyi-3123">打开只读HDF5文件（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/847">GH847</a>）时不要引发异常</span></li>
<li><span class="yiyi-st" id="yiyi-3124">修复0长度系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/917">GH917</a>）中可能的超范围内存访问</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-7-1">
<h2><span class="yiyi-st" id="yiyi-3125">pandas 0.7.1</span></h2>
<p><span class="yiyi-st" id="yiyi-3126"><strong>发布日期：</strong> 2012年2月29日</span></p>
<div class="section" id="id60">
<h3><span class="yiyi-st" id="yiyi-3127">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3128">将<code class="docutils literal"><span class="pre">to_clipboard</span></code>函数添加到pandas命名空间以将对象写入系统剪贴板（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/774">GH774</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3129">将<code class="docutils literal"><span class="pre">itertuples</span></code>方法添加到DataFrame，用于将数据帧的行作为元组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/818">GH818</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3130">添加将fill_value和方法传递给DataFrame和系列对齐方法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/806">GH806</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/807">GH807</a>）的能力</span></li>
<li><span class="yiyi-st" id="yiyi-3131">在reindex，align方法中添加fill_value选项（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/784">GH784</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3132">启用concat以从Series（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/787">GH787</a>）生成DataFrame</span></li>
<li><span class="yiyi-st" id="yiyi-3133">将<code class="docutils literal"><span class="pre">between</span></code>方法到系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/802">GH802</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3134">为IPython HTML笔记本（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/773">GH773</a>）添加HTML表示钩子到DataFrame</span></li>
<li><span class="yiyi-st" id="yiyi-3135">支持使用openpyxl读取Excel 2007 XML文档</span></li>
</ul>
</div>
<div class="section" id="id61">
<h3><span class="yiyi-st" id="yiyi-3136">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3137">提高DataFrame上fillna的性能和内存使用率</span></li>
<li><span class="yiyi-st" id="yiyi-3138">可以沿着axis = 1串联一系列列表以获取DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/787">GH787</a>）</span></li>
</ul>
</div>
<div class="section" id="id62">
<h3><span class="yiyi-st" id="yiyi-3139">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3140">在将大量列插入单个DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/790">GH790</a>）时修复内存泄漏</span></li>
<li><span class="yiyi-st" id="yiyi-3141">使用新列附加length-0 DataFrame不会导致这些新列成为生成的并置DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/782">GH782</a>）的一部分</span></li>
<li><span class="yiyi-st" id="yiyi-3142">修复了传递字典分组工具和as_index为False（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/819">GH819</a>）时的分组点角</span></li>
<li><span class="yiyi-st" id="yiyi-3143">修正了bool数组有时具有对象dtype（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/820">GH820</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3144">修复np.diff（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/816">GH816</a>）上抛出的异常</span></li>
<li><span class="yiyi-st" id="yiyi-3145">修正to_records，其中列是非字符串（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/822">GH822</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3146">Fix Index.intersection其中索引具有无法比较的类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/811">GH811</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3147">修复ExcelFile为两行文件（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/837">GH837</a>）抛出异常</span></li>
<li><span class="yiyi-st" id="yiyi-3148">在csv解析器中添加更清晰的错误消息（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/835">GH835</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3149">修复HDFStore中小数秒的丢失（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/513">GH513</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3150">修复DataFrame连接，其中列具有数据时间（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/787">GH787</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3151">解决numpy性能问题（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/817">GH817</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3152">改善NA友好性比较操作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/801">GH801</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3153">修正浮点值的索引操作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/780">GH780</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/798">GH798</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3154">修复groupby情况导致格式错误的数据帧（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/814">GH814</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3155">修复系列丢弃名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/812">GH812</a>）的reindex行为</span></li>
<li><span class="yiyi-st" id="yiyi-3156">改进减量组计算（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/775">GH775</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3157">捕获可能的NA分配给int / bool系列，异常（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/839">GH839</a>）</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-7-0">
<h2><span class="yiyi-st" id="yiyi-3158">pandas 0.7.0</span></h2>
<p><span class="yiyi-st" id="yiyi-3159"><strong>发布日期：</strong> 2/9/2012</span></p>
<div class="section" id="id63">
<h3><span class="yiyi-st" id="yiyi-3160">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3161">新<code class="docutils literal"><span class="pre">merge</span></code>函数用于有效地执行数据库/关系代数运算的全色域。</span><span class="yiyi-st" id="yiyi-3162">重构现有的连接方法以使用新的基础设施，从而获得显着的性能提升（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/220">GH220</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/249">GH249</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/267">GH267</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3163">用于沿着轴连接DataFrame或Panel对象的新<code class="docutils literal"><span class="pre">concat</span></code>函数。</span><span class="yiyi-st" id="yiyi-3164">可以形成其他轴的联合或交叉。</span><span class="yiyi-st" id="yiyi-3165">改善<code class="docutils literal"><span class="pre">DataFrame.append</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/468">GH468</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/479">GH479</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/273">GH273</a>）的效能</span></li>
<li><span class="yiyi-st" id="yiyi-3166">在<code class="docutils literal"><span class="pre">DataFrame.apply</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/498">GH498</a>）中处理不同索引的输出值</span></li>
<li><span class="yiyi-st" id="yiyi-3167">可以将字典列表（例如，浅JSON对象的列表）传递给DataFrame构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/526">GH526</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3168">将<code class="docutils literal"><span class="pre">reorder_levels</span></code>方法添加到Series和DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/534">GH534</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3169">将类似字幕的<code class="docutils literal"><span class="pre">get</span></code>函数添加到DataFrame和Panel（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/521">GH521</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3170"><code class="docutils literal"><span class="pre">DataFrame.iterrows</span></code>方法，用于有效地遍历DataFrame的行</span></li>
<li><span class="yiyi-st" id="yiyi-3171">添加了<code class="docutils literal"><span class="pre">DataFrame.to_panel</span></code>，代码改为<code class="docutils literal"><span class="pre">LongPanel.to_long</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-3172"><code class="docutils literal"><span class="pre">reindex_axis</span></code>方法添加到DataFrame</span></li>
<li><span class="yiyi-st" id="yiyi-3173">将<code class="docutils literal"><span class="pre">level</span></code>选项添加到<code class="docutils literal"><span class="pre">DataFrame</span></code>和<code class="docutils literal"><span class="pre">Series</span></code>上的二进制算术函数中，</span></li>
<li><span class="yiyi-st" id="yiyi-3174">Add <code class="docutils literal"><span class="pre">level</span></code> option to the <code class="docutils literal"><span class="pre">reindex</span></code> and <code class="docutils literal"><span class="pre">align</span></code> methods on Series and DataFrame for broadcasting values across a level (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/542">GH542</a>, <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/552">GH552</a>, others)</span></li>
<li><span class="yiyi-st" id="yiyi-3175">向<code class="docutils literal"><span class="pre">Panel</span></code>添加基于属性的项访问权限，并添加IPython完成（PR <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/554">GH554</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3176">将<code class="docutils literal"><span class="pre">logy</span></code>选项添加到<code class="docutils literal"><span class="pre">Series.plot</span></code>以在Y轴上进行对数缩放</span></li>
<li><span class="yiyi-st" id="yiyi-3177">将<code class="docutils literal"><span class="pre">index</span></code>，<code class="docutils literal"><span class="pre">header</span></code>和<code class="docutils literal"><span class="pre">justify</span></code>选项添加到<code class="docutils literal"><span class="pre">DataFrame.to_string</span></code>。</span><span class="yiyi-st" id="yiyi-3178">添加选项至（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/570">GH570</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/571">GH571</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3179">可以将多个DataFrames传递到<code class="docutils literal"><span class="pre">DataFrame.join</span></code>，以便在索引上加入（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/115">GH115</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3180">可将多个面板传递给<code class="docutils literal"><span class="pre">Panel.join</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/115">GH115</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3181">可以将多个DataFrames传递到<cite>DataFrame.append</cite>以连接（堆叠）和多个Series到<code class="docutils literal"><span class="pre">Series.append</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-3182">为<code class="docutils literal"><span class="pre">DataFrame.to_string</span></code>添加<code class="docutils literal"><span class="pre">justify</span></code>参数，以允许列标题的不同对齐</span></li>
<li><span class="yiyi-st" id="yiyi-3183">将<code class="docutils literal"><span class="pre">sort</span></code>选项添加到GroupBy以允许禁用可能加速的组键排序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/595">GH595</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3184">可以将MaskedArray传递给Series构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/563">GH563</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3185">通过属性和IPython完成添加面板项目访问（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/554">GH554</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3186">实现<code class="docutils literal"><span class="pre">DataFrame.lookup</span></code>，用于检索给定一系列行和列标签的值的花样索引模拟（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/338">GH338</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3187">将<code class="docutils literal"><span class="pre">verbose</span></code>选项添加到<code class="docutils literal"><span class="pre">read_csv</span></code>和<code class="docutils literal"><span class="pre">read_table</span></code>以显示插入非数字列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/614">GH614</a></span></li>
<li><span class="yiyi-st" id="yiyi-3188">可将连字号或系列的列表传递到<code class="docutils literal"><span class="pre">DataFrame.append</span></code>以连接多个行（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/464">GH464</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3189">将<code class="docutils literal"><span class="pre">level</span></code>参数添加到<code class="docutils literal"><span class="pre">DataFrame.xs</span></code>以从其他MultiIndex级别选择数据。</span><span class="yiyi-st" id="yiyi-3190">可以采用一个或多个级别，可能有一个键的元组，用于灵活检索数据（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/371">GH371</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/629">GH629</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3191">新的<code class="docutils literal"><span class="pre">crosstab</span></code>功能，可轻松计算频率表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/170">GH170</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3192">可以传递一个函数列表，在DataFrame上与groupby进行聚合，生成带有分层列的聚合结果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/166">GH166</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3193">在数据帧中添加整数索引函数<code class="docutils literal"><span class="pre">iget</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/628">GH628</a>）中的<code class="docutils literal"><span class="pre">irow</span></code> / <code class="docutils literal"><span class="pre">iget</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-3194">添加新<code class="docutils literal"><span class="pre">Series.unique</span></code>函数，显着快于<code class="docutils literal"><span class="pre">numpy.unique</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/658">GH658</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3195">将<code class="docutils literal"><span class="pre">cummin</span></code>和<code class="docutils literal"><span class="pre">cummax</span></code>实例方法添加到<code class="docutils literal"><span class="pre">Series</span></code>和<code class="docutils literal"><span class="pre">DataFrame</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/647">GH647</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3196">添加新<code class="docutils literal"><span class="pre">value_range</span></code>函数以返回数据帧的最小值/最大值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/288">GH288</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3197">Add <code class="docutils literal"><span class="pre">drop</span></code> parameter to <code class="docutils literal"><span class="pre">reset_index</span></code> method of <code class="docutils literal"><span class="pre">DataFrame</span></code> and added method to <code class="docutils literal"><span class="pre">Series</span></code> as well (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/699">GH699</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-3198">将<code class="docutils literal"><span class="pre">isin</span></code>方法添加到索引对象，与<code class="docutils literal"><span class="pre">Series.isin</span></code>（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/657">GH657</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3199">在Panel上实现数组接口，使ufuncs工作（re：<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/740">GH740</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3200">将<code class="docutils literal"><span class="pre">sort</span></code>选项添加到<code class="docutils literal"><span class="pre">DataFrame.join</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/731">GH731</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3201">使用dtype =对象数组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/737">GH737</a>）改进二进制操作中NAs（传播）的处理</span></li>
<li><span class="yiyi-st" id="yiyi-3202">向Pandas对象添加<code class="docutils literal"><span class="pre">abs</span></code>方法</span></li>
<li><span class="yiyi-st" id="yiyi-3203">添加了<code class="docutils literal"><span class="pre">algorithms</span></code>模块以开始收集中心algos</span></li>
</ul>
</div>
<div class="section" id="id64">
<h3><span class="yiyi-st" id="yiyi-3204">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3205">如果找不到标签而不是回退基于位置的索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/700">GH700</a>），则使用整数索引的标签索引现在会引发KeyError，</span></li>
<li><span class="yiyi-st" id="yiyi-3206">基于标签的切片通过<code class="docutils literal"><span class="pre">ix</span></code>或<code class="docutils literal"><span class="pre">[]</span></code>在系列上现在只有在找到标签的完全匹配或索引是单调的（对于范围选择）</span></li>
<li><span class="yiyi-st" id="yiyi-3207">基于标签的切片和标签序列可以传递到用于获取和设置的序列上的<code class="docutils literal"><span class="pre">[]</span></code>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/86">GH86</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3208">当索引中不包含索引时，<cite>[]</cite>运算符（<code class="docutils literal"><span class="pre">__getitem__</span></code>和<code class="docutils literal"><span class="pre">__setitem__</span></code>）将使用整数索引引发KeyError。</span><span class="yiyi-st" id="yiyi-3209">如果在索引中没有找到将导致微妙错误的键，先前的行为将落在基于位置的索引上。</span><span class="yiyi-st" id="yiyi-3210">这现在与<code class="docutils literal"><span class="pre">.ix</span></code>在DataFrame和朋友（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/328">GH328</a>）上的行为一致</span></li>
<li><span class="yiyi-st" id="yiyi-3211">将<code class="docutils literal"><span class="pre">DataFrame.delevel</span></code>重命名为<code class="docutils literal"><span class="pre">DataFrame.reset_index</span></code>，并添加弃用警告</span></li>
<li><span class="yiyi-st" id="yiyi-3212"><cite>Series.sort</cite> (an in-place operation) called on a Series which is a view on a larger array (e.g. a column in a DataFrame) will generate an Exception to prevent accidentally modifying the data source (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/316">GH316</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-3213">删除弃用的<code class="docutils literal"><span class="pre">LongPanel</span></code>类（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/552">GH552</a>）的重构</span></li>
<li><span class="yiyi-st" id="yiyi-3214">已弃用<code class="docutils literal"><span class="pre">Panel.to_long</span></code>，重命名为<code class="docutils literal"><span class="pre">to_frame</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-3215"><code class="docutils literal"><span class="pre">DataFrame.to_string</span></code>中已弃用的<code class="docutils literal"><span class="pre">colSpace</span></code>参数，重命名为<code class="docutils literal"><span class="pre">col_space</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-3216">在工程浮点格式化（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/395">GH395</a>）中将<code class="docutils literal"><span class="pre">precision</span></code>重命名为<code class="docutils literal"><span class="pre">accuracy</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-3217"><code class="docutils literal"><span class="pre">read_csv</span></code>的默认分隔符是逗号，而不是让<code class="docutils literal"><span class="pre">csv.Sniffer</span></code>推断</span></li>
<li><span class="yiyi-st" id="yiyi-3218">Rename <code class="docutils literal"><span class="pre">col_or_columns</span></code> argument in <code class="docutils literal"><span class="pre">DataFrame.drop_duplicates</span></code> (GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/734">GH734</a>)</span></li>
</ul>
</div>
<div class="section" id="id65">
<h3><span class="yiyi-st" id="yiyi-3219">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3220">传递的列标签与数据不匹配（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/497">GH497</a>）时，DataFrame构造函数中的错误消息更好</span></li>
<li><span class="yiyi-st" id="yiyi-3221">当传递Python函数时，大幅提高多GroupBy聚合的性能，在Cython中重用ndarray对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/496">GH496</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3222">可以存储由元组和浮点索引的对象在HDFStore（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/492">GH492</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3223">不要在Series.to_string中打印默认长度，添加<cite>length</cite>选项（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/489">GH489</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3224">改进多分组的Cython代码进行聚合，而不必对数据排序（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/93">GH93</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3225">通过在MultiIndex中存储元组来提高MultiIndex重建索引速度，测试向后取消匹配兼容性</span></li>
<li><span class="yiyi-st" id="yiyi-3226">通过使用专门的Cython take函数来提高列重建索引性能</span></li>
<li><span class="yiyi-st" id="yiyi-3227">标准用例的系列.__ getitem__的进一步性能调整</span></li>
<li><span class="yiyi-st" id="yiyi-3228">在某些情况下避免Index dict创建（即获取切片等）。</span><span class="yiyi-st" id="yiyi-3229">），从以前的版本回归</span></li>
<li><span class="yiyi-st" id="yiyi-3230">如果未安装NumPy，则在setup.py中显示友好的错误消息</span></li>
<li><span class="yiyi-st" id="yiyi-3231">使用常用的NA处理操作（sum，mean等）</span><span class="yiyi-st" id="yiyi-3232">在Panel类中（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/536">GH536</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3233">在具有常规（非分层）索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/476">GH476</a>）的DataFrame上调用<code class="docutils literal"><span class="pre">reset_index</span></code>时的默认名称分配</span></li>
<li><span class="yiyi-st" id="yiyi-3234">在系列/数据框架统计操作中，尽可能使用Cython化分组程序，并传递<code class="docutils literal"><span class="pre">level</span></code>参数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/545">GH545</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3235">将大多数典型用例（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/374">GH374</a>）中的skiplist数据结构移至C以加快<code class="docutils literal"><span class="pre">rolling_median</span></code>约5-10倍</span></li>
<li><span class="yiyi-st" id="yiyi-3236">从DataFrame对象的dict构造Panel的一些性能增强</span></li>
<li><span class="yiyi-st" id="yiyi-3237">通过删除下划线使得<code class="docutils literal"><span class="pre">Index._get_duplicates</span></code>成为公共方法</span></li>
<li><span class="yiyi-st" id="yiyi-3238">浮雕的更漂亮的打印和列间距固定（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/395">GH395</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/571">GH571</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3239">将<code class="docutils literal"><span class="pre">bold_rows</span></code>选项添加到DataFrame.to_html（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/586">GH586</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3240">在按多列排序时，将<code class="docutils literal"><span class="pre">DataFrame.sort_index</span></code>的性能提高5倍或更多</span></li>
<li><span class="yiyi-st" id="yiyi-3241">当分别通过嵌套dict或dict（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/540">GH540</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/621">GH621</a>）时，大幅提高DataFrame和Series构造函数的性能</span></li>
<li><span class="yiyi-st" id="yiyi-3242">修改setup.py，让pip / setuptools安装依赖项（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/507">GH507</a>，各种pull请求）</span></li>
<li><span class="yiyi-st" id="yiyi-3243">Unstack调用DataFrame与非MultiIndex将返回Series（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/477">GH477</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3244">改进DataFrame.to_string和控制台格式以使显示数字的数量更一致（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/395">GH395</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3245">如果可用于执行NaN友好的统计操作，则使用瓶颈（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/91">GH91</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3246">在<code class="docutils literal"><span class="pre">DataFrame.apply</span></code>中指示函数应用程序失败的行/列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/614">GH614</a>）的Monkey-patch上下文</span></li>
<li><span class="yiyi-st" id="yiyi-3247">提高了read_table和read_clipboard分析控制台格式的DataFrames的能力（可以读取索引名称的行等）</span></li>
<li><span class="yiyi-st" id="yiyi-3248">在某些情况下（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/659">GH659</a>），可以传递组标签列表（无需自己转换为ndarray）<code class="docutils literal"><span class="pre">groupby</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-3249">使用Series.order的<code class="docutils literal"><span class="pre">kind</span></code>参数选择不同的排序类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/668">GH668</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3250">将选项添加到Series.to_csv以忽略索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/684">GH684</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3251">在<code class="docutils literal"><span class="pre">read_csv</span></code>和其他解析函数中，添加<code class="docutils literal"><span class="pre">delimiter</span></code>替代<code class="docutils literal"><span class="pre">sep</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-3252">通过同时聚合列的块（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/745">GH745</a>），在具有许多列的DataFrames上基本提高groupby的性能</span></li>
<li><span class="yiyi-st" id="yiyi-3253">可以将文件句柄或StringIO传递给Series / DataFrame.to_csv（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/765">GH765</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3254">可以将整数序列传递给DataFrame.irow（icol）和Series.iget（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/654">GH654</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3255">一些矢量化字符串函数的原型</span></li>
<li><span class="yiyi-st" id="yiyi-3256">添加float64散列表以解决NAs（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/714">GH714</a>）的Series.unique问题</span></li>
<li><span class="yiyi-st" id="yiyi-3257">从文件读取时记忆对象以减少内存占用</span></li>
<li><span class="yiyi-st" id="yiyi-3258">可以获取和设置具有包含“空”（&apos;&apos;）较低级别但不通过空级别（PR <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/768">GH768</a>）的分层列的DataFrame的列</span></li>
</ul>
</div>
<div class="section" id="id66">
<h3><span class="yiyi-st" id="yiyi-3259">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3260">在系列的超出范围索引中引发异常，而不是段错误，从早期版本回归（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/495">GH495</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3261">修复在相同类型类（例如float32和float64）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/486">GH486</a>）中加入不同类型的DataFrames时出错</span></li>
<li><span class="yiyi-st" id="yiyi-3262">修复Series.min / Series.max中对象datetime.datetime（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/487">GH487</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3263">保留Index.union中的索引名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/501">GH501</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3264">修正索引连接中的错误，导致在某些情况下丢失子类信息（如DateRange类型）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/500">GH500</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3265">接受空列表作为DataFrame构造函数的输入，从0.6.0（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/491">GH491</a>）回归</span></li>
<li><span class="yiyi-st" id="yiyi-3266">可以在dtype =对象数组（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/490">GH490</a>）中输出带有ndarray对象的DataFrame和Series</span></li>
<li><span class="yiyi-st" id="yiyi-3267">当在空系列（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/488">GH488</a>）上调用时，从Series.to_string返回空字符串</span></li>
<li><span class="yiyi-st" id="yiyi-3268">修复将空列表传递到DataFrame.from_records的异常</span></li>
<li><span class="yiyi-st" id="yiyi-3269">修复Index.format错误（不包括名称字段）与数据时间与时间信息</span></li>
<li><span class="yiyi-st" id="yiyi-3270">修复系列中的标量值访问以始终返回NumPy标量，从先前版本回归（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/510">GH510</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3271">在read_ *函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/505">GH505</a>）中处理在文件开头跳过的行</span></li>
<li><span class="yiyi-st" id="yiyi-3272">在<code class="docutils literal"><span class="pre">set_value</span></code>方法中处理不当的dtype类型转换</span></li>
<li><span class="yiyi-st" id="yiyi-3273">DataFrame上的一元式“ - ”/ __neg__运算符正在返回整数值</span></li>
<li><span class="yiyi-st" id="yiyi-3274">Unbox 0-dim narrays从某些操作符像所有，任何在系列</span></li>
<li><span class="yiyi-st" id="yiyi-3275">修复DataFrame.combine中一般情况（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/529">GH529</a>）中缺少的列的处理（是combine_first特定的）</span></li>
<li><span class="yiyi-st" id="yiyi-3276">在DataFrame索引中使用布尔列表和数组修复类型推理逻辑</span></li>
<li><span class="yiyi-st" id="yiyi-3277"></span></li>
<li><span class="yiyi-st" id="yiyi-3278">处理所有NA系列。</span><span class="yiyi-st" id="yiyi-3279">{corr，cov}，引发异常（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/548">GH548</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3280">通过多个级别与DataFrame的<code class="docutils literal"><span class="pre">level</span></code>参数聚合，系列stat方法被破坏（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/545">GH545</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3281">当转换器传递给read_csv时，修复Cython buf产生一个数字数组（传递给Cython类型推理函数时，缓冲区dtype不匹配）（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/546">GH546</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3282">在使用MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/551">GH551</a>）的DataFrame上使用.ix设置标量值时修复异常</span></li>
<li><span class="yiyi-st" id="yiyi-3283">修复两个带有不同偏移量的DateRange之间的外部联接，这些偏移量返回了无效的DateRange</span></li>
<li><span class="yiyi-st" id="yiyi-3284">Cleanup DataFrame.from_records失败，其中index参数是整数</span></li>
<li><span class="yiyi-st" id="yiyi-3285">修复传递字典时Data.from_records失败</span></li>
<li><span class="yiyi-st" id="yiyi-3286">修复{Series，DataFrame} .rank中带有非浮点型dty的NA处理</span></li>
<li><span class="yiyi-st" id="yiyi-3287">修复与基于.ix的索引中的整数类型检查相关的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3288">处理传递给DataFrame.from_records的非字符串索引名</span></li>
<li><span class="yiyi-st" id="yiyi-3289">DataFrame.insert导致列名称字段被丢弃（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/527">GH527</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3290">修正单调的多对一左连接中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3291">修复DataFrame.to_string以删除额外的列空白（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/571">GH571</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3292">格式浮动为默认相同的位数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/395">GH395</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3293">添加装饰器将docstring从一个函数复制到另一个函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/449">GH449</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3294">修正单调多对一左连接中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3295">修复__eq__ DateOffsets与不同的relativedelta关键字之间的比较</span></li>
<li><span class="yiyi-st" id="yiyi-3296">修复由解析器转换器返回字符串引起的异常（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/583">GH583</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3297">使用整数名称修正MultiIndex格式错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/601">GH601</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3298">修复了在Series.groupby（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/612">GH612</a>）中处理非数字聚合的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3299">在DataFrame.from_records（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/611">GH611</a>）中使用tuple子类（例如namedtuple）修复TypeError</span></li>
<li><span class="yiyi-st" id="yiyi-3300">在Emacs中运行IPython时捕获误报的控制台大小</span></li>
<li><span class="yiyi-st" id="yiyi-3301">修复透视表边距中的小错误，索引名称丢失和长度-1行标签中的“全部”元组</span></li>
<li><span class="yiyi-st" id="yiyi-3302">添加对从HDFStore读取的传统WidePanel对象的支持</span></li>
<li><span class="yiyi-st" id="yiyi-3303">当源或目标数组为空时，修复pad_object和backfill_object方法中的超出边界</span></li>
<li><span class="yiyi-st" id="yiyi-3304">无法在元组列表中的DataFrame中创建新列</span></li>
<li><span class="yiyi-st" id="yiyi-3305">修复防止SparseDataFrame和SparseSeries使用groupby（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/666">GH666</a>）的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3306">在Series.sort / argsort（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/668">GH668</a>）中使用排序类型</span></li>
<li><span class="yiyi-st" id="yiyi-3307">修正非标量，非熊猫对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/672">GH672</a>）上的DataFrame操作</span></li>
<li><span class="yiyi-st" id="yiyi-3308">将整数传递给__setitem__（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/669">GH669</a>）时，不要将DataFrame列转换为整数类型</span></li>
<li><span class="yiyi-st" id="yiyi-3309">修复由于MultiIndex中整数级别名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/678">GH678</a>）导致的pivot_table中的下游错误</span></li>
<li><span class="yiyi-st" id="yiyi-3310">修复SparseSeries.combine_first时传递密集系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/687">GH687</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3311">当DataFrame或Panel以带数据时间的表格式存储时，修复HDFStore加载中的性能回归</span></li>
<li><span class="yiyi-st" id="yiyi-3312">当传递n = 0的偏移时，在DateRange中增加异常（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/683">GH683</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3313">修正get / set与.ix属性和整数位置不一致，但非整数索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/707">GH707</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3314">对SparseSeries使用right dropna函数。</span><span class="yiyi-st" id="yiyi-3315">返回密度系列的NA填充值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/730">GH730</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3316">Fix Index.format错误导致字符串格式的日期时间索引的系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/726">GH726</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/758">GH758</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3317">修复传递给ols的对象类型数组导致的错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/759">GH759</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3318">修复在将标签列表传递到DataFrame时失去列名称的错误.__ getitem__，（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/662">GH662</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3319">修正错误，顶层星期迭代器覆盖周实例</span></li>
<li><span class="yiyi-st" id="yiyi-3320">修复导致稀疏数组/系列/框架中内存泄漏的循环引用（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/663">GH663</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3321">从整数浮点（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/670">GH670</a>）修正整数切片</span></li>
<li><span class="yiyi-st" id="yiyi-3322">修正在所有NA情况下（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/676">GH676</a>）的来自对象类型数组的纳米中的零分割误差</span></li>
<li><span class="yiyi-st" id="yiyi-3323">使用unicode（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/705">GH705</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/717">GH717</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/738">GH738</a>）时修正csv编码</span></li>
<li><span class="yiyi-st" id="yiyi-3324">修复假设每个对象包含concat中的每个唯一块类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/708">GH708</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3325">修复to_panel中多索引的排序检查（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/719">GH719</a>，720）</span></li>
<li><span class="yiyi-st" id="yiyi-3326">确定在PyObjectHashtable中没有被视为NA</span></li>
<li><span class="yiyi-st" id="yiyi-3327">由于字节顺序混乱（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/747">GH747</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/748">GH748</a>）而修复散列类型</span></li>
<li><span class="yiyi-st" id="yiyi-3328">修复SparseSeries.dropna在NA填充值（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/730">GH730</a>）的情况下返回密集系列</span></li>
<li><span class="yiyi-st" id="yiyi-3329">使用map_infer而不是np.vectorize。</span><span class="yiyi-st" id="yiyi-3330">如果转换器产生数字数组，则处理NA哨兵（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/753">GH753</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3331">修正和改进DataFrame.rank（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/742">GH742</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3332">修复捕获AttributeError而不是NameError的瓶颈</span></li>
<li><span class="yiyi-st" id="yiyi-3333">尝试在调用reset_index（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/726">GH726</a> <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/440">GH440</a>）时将非MultiIndex转换为更好的dtype</span></li>
<li><span class="yiyi-st" id="yiyi-3334">修复＃1.QNAN0&apos;float bug on 2.6 / win64</span></li>
<li><span class="yiyi-st" id="yiyi-3335">在DataFrame构造函数中允许子类的测试</span></li>
<li><span class="yiyi-st" id="yiyi-3336">修复set_index销毁列多索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/764">GH764</a>）的问题</span></li>
<li><span class="yiyi-st" id="yiyi-3337">解决从朴素的DateOffset（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/770">GH770</a>）生成DateRange的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3338">修正DateRange.intersection中的错误，导致某些重叠范围（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/771">GH771</a>）的结果不正确</span></li>
</ul>
</div>
<div class="section" id="id67">
<h3><span class="yiyi-st" id="yiyi-3339">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3340">Craig奥斯汀</span></li>
<li><span class="yiyi-st" id="yiyi-3341">克里斯&#xB7;比灵顿</span></li>
<li><span class="yiyi-st" id="yiyi-3342">Marius Cobzarenco</span></li>
<li><span class="yiyi-st" id="yiyi-3343">马里奥Gamboa-Cavazos</span></li>
<li><span class="yiyi-st" id="yiyi-3344">Hans-Martin Gaudecker</span></li>
<li><span class="yiyi-st" id="yiyi-3345">Arthur Gerigk</span></li>
<li><span class="yiyi-st" id="yiyi-3346">雅罗斯拉夫Halchenko</span></li>
<li><span class="yiyi-st" id="yiyi-3347">杰夫&#xB7;哈默巴赫</span></li>
<li><span class="yiyi-st" id="yiyi-3348">马特&#xB7;哈里森</span></li>
<li><span class="yiyi-st" id="yiyi-3349">Andreas Hilboll</span></li>
<li><span class="yiyi-st" id="yiyi-3350">Luc Kesters</span></li>
<li><span class="yiyi-st" id="yiyi-3351">亚当克莱因</span></li>
<li><span class="yiyi-st" id="yiyi-3352">Gregg Lind</span></li>
<li><span class="yiyi-st" id="yiyi-3353">所罗门内格</span></li>
<li><span class="yiyi-st" id="yiyi-3354">Wouter Overmeire</span></li>
<li><span class="yiyi-st" id="yiyi-3355">基督教prinoth</span></li>
<li><span class="yiyi-st" id="yiyi-3356">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-3357">山姆Reckoner</span></li>
<li><span class="yiyi-st" id="yiyi-3358">Craig Reeson</span></li>
<li><span class="yiyi-st" id="yiyi-3359">Jan Schulz</span></li>
<li><span class="yiyi-st" id="yiyi-3360">船长海鸟</span></li>
<li><span class="yiyi-st" id="yiyi-3361">泰德广场</span></li>
<li><span class="yiyi-st" id="yiyi-3362">格雷厄姆&#xB7;泰勒</span></li>
<li><span class="yiyi-st" id="yiyi-3363">Aman Thakral</span></li>
<li><span class="yiyi-st" id="yiyi-3364">克里斯&#xB7;乌加</span></li>
<li><span class="yiyi-st" id="yiyi-3365">Dieter Vandenbussche</span></li>
<li><span class="yiyi-st" id="yiyi-3366">德克萨斯州</span></li>
<li><span class="yiyi-st" id="yiyi-3367">叶婷婷</span></li>
<li><span class="yiyi-st" id="yiyi-3368">...大家我忘了</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-6-1">
<h2><span class="yiyi-st" id="yiyi-3369">pandas 0.6.1</span></h2>
<p><span class="yiyi-st" id="yiyi-3370"><strong>发布日期：</strong> 12/13/2011</span></p>
<div class="section" id="id68">
<h3><span class="yiyi-st" id="yiyi-3371">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3372">将DataFrame.from_records中的<cite>名称</cite>参数重命名为<cite>列</cite>。</span><span class="yiyi-st" id="yiyi-3373">添加停用警告</span></li>
<li><span class="yiyi-st" id="yiyi-3374">布尔的get / set操作对布尔系列的Series将重建索引，而不是要求索引完全相等（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/429">GH429</a>）</span></li>
</ul>
</div>
<div class="section" id="id69">
<h3><span class="yiyi-st" id="yiyi-3375">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3376">可以将Series传递到DataFrame.append，并将ignore_index = True用于追加单行（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/430">GH430</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3377">将Spearman和Kendall相关选项添加到Series.corr和DataFrame.corr（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/428">GH428</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3378">向Series，DataFrame和Panel添加新的<cite>get_value</cite>和<cite>set_value</cite>方法，以极低开销访问标量元素。</span><span class="yiyi-st" id="yiyi-3379">通过处理更少的案例（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/437">GH437</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/438">GH438</a>），df.get_value（row，column）比df [column] [row]</span><span class="yiyi-st" id="yiyi-3380">为稀疏数据结构添加类似方法以实现兼容性</span></li>
<li><span class="yiyi-st" id="yiyi-3381">将Qt表小部件添加到沙盒（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/435">GH435</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3382">DataFrame.align可以接受系列参数，添加axis关键字（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/461">GH461</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3383">实现新的SparseList和SparseArray数据结构。</span><span class="yiyi-st" id="yiyi-3384">SparseSeries现在派生自SparseArray（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/463">GH463</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3385">set_printoptions（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/453">GH453</a>）中的max_columns / max_rows选项</span></li>
<li><span class="yiyi-st" id="yiyi-3386">实现Series.rank和DataFrame.rank，快速版本的scipy.stats.rankdata（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/428">GH428</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3387">实施DataFrame.from_items替代构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/444">GH444</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3388">DataFrame.convert_objects方法，用于推断对象列的更好的dtypes（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/302">GH302</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3389">添加rolling_corr_pairwise函数用于计算相关矩阵面板（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/189">GH189</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3390">将<cite>边距</cite>选项添加到<cite>pivot_table</cite>，用于计算子组聚合（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/114">GH114</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3391">添加<cite>Series.from_csv</cite>函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/482">GH482</a>）</span></li>
</ul>
</div>
<div class="section" id="id70">
<h3><span class="yiyi-st" id="yiyi-3392">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3393">改进<cite>DataFrame.describe</cite>（不要不必要地复制数据）的内存使用情况（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/425">GH425</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3394">使用相同的格式化功能将数据输出到控制台，如DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/420">GH420</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3395">DataFrame.delevel将尝试为新列推断更好的dtype（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/440">GH440</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3396">在DataFrame中排除非数字类型。</span><span class="yiyi-st" id="yiyi-3397">{corr，cov}</span></li>
<li><span class="yiyi-st" id="yiyi-3398">覆盖Index.astype以启用dtype投射（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/412">GH412</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3399">对Series .__ repr__使用相同的浮动格式化功能（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/420">GH420</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3400">使用可用的控制台宽度输出DataFrame列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/453">GH453</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3401">在Panel中设置项目时接受ndarrays（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/452">GH452</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3402">将DataFrame的__repr__打印到控制台时，控制台宽度（PR <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/453">GH453</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3403">在Series和DataFrame中将标量值查找在一般情况下优化25％或更多</span></li>
<li><span class="yiyi-st" id="yiyi-3404">可以将DataFrame / DataFrame和DataFrame / Series传递到rolling_corr / rolling_cov（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/462">GH462</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3405">修复DataFrame中横截面数量的性能回归，影响DataFrame.dropna速度</span></li>
<li><span class="yiyi-st" id="yiyi-3406">DataFrame中的列删除不复制数据（计算块上的视图）（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/158">GH158</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3407">MultiIndex.get_level_values可以采用级别名称</span></li>
<li><span class="yiyi-st" id="yiyi-3408">当DataFrame.plot在其中一列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/478">GH478</a>）上失败时出现更有帮助的错误消息</span></li>
<li><span class="yiyi-st" id="yiyi-3409">提高DataFrame的性能。</span><span class="yiyi-st" id="yiyi-3410">{index，columns}属性查找</span></li>
</ul>
</div>
<div class="section" id="id71">
<h3><span class="yiyi-st" id="yiyi-3411">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3412">修复O（K ^ 2）由于插入许多列而不进行合并导致的内存泄漏，自从0.4.0（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/467">GH467</a>）以来一直存在</span></li>
<li><span class="yiyi-st" id="yiyi-3413"><cite>DataFrame.count</cite>应返回0系列，而不是NA（长度为0轴）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/423">GH423</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3414">修复Yahoo!</span><span class="yiyi-st" id="yiyi-3415">pandas.io.data中的财务API用法（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/419">GH419</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/427">GH427</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3416">修复上游错误导致Series.align与空系列失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/434">GH434</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3417">传递给DataFrame.apply的函数可以返回一个列表，只要它的长度合适。</span><span class="yiyi-st" id="yiyi-3418">从0.4（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/432">GH432</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3419">使用.ix（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/431">GH431</a>）索引时，不要“偶然”上传标量值</span></li>
<li><span class="yiyi-st" id="yiyi-3420">修复由as_index = False和选择的单列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/421">GH421</a>）引发的groupby异常</span></li>
<li><span class="yiyi-st" id="yiyi-3421">实现DateOffset .__ ne__导致下游错误（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/456">GH456</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3422">修复__doc __-与py  - &gt; pyo转换py2exe相关的问题</span></li>
<li><span class="yiyi-st" id="yiyi-3423">修复了左侧连接具有重复单调标签的Cython代码的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3424">修复在卸载<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/451">GH451</a>中描述的多个级别时出现的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3425">排除dtype =对象数组中的NA值，从0.5.0（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/469">GH469</a>）回归</span></li>
<li><span class="yiyi-st" id="yiyi-3426">在DataFrame.applymap中使用Cython map_infer函数来正确推断输出类型，处理元组返回值和其他破坏事件（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/465">GH465</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3427">处理HDFStore中的浮点索引值（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/454">GH454</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3428">修复由DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/473">GH473</a>）中的类型更改/项删除引起的陈旧列引用错误（缓存的序列对象）</span></li>
<li><span class="yiyi-st" id="yiyi-3429">当有重复时，Index.get_loc应该总是引发异常</span></li>
<li><span class="yiyi-st" id="yiyi-3430">处理不同索引的系列输入到DataFrame构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/475">GH475</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3431">使用Python函数省略多组中的烦扰列</span></li>
<li><span class="yiyi-st" id="yiyi-3432">Buglet在处理单个分组时一般适用</span></li>
<li><span class="yiyi-st" id="yiyi-3433">当将列表或元组列表传递给DataFrame构造函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/484">GH484</a>）时，正确处理类型推断</span></li>
<li><span class="yiyi-st" id="yiyi-3434">在GroupBy.apply并置步骤（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/481">GH481</a>）中保留索引/多索引名称</span></li>
</ul>
</div>
<div class="section" id="id72">
<h3><span class="yiyi-st" id="yiyi-3435">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3436">Ralph豆</span></li>
<li><span class="yiyi-st" id="yiyi-3437">Luca Beltrame</span></li>
<li><span class="yiyi-st" id="yiyi-3438">Marius Cobzarenco</span></li>
<li><span class="yiyi-st" id="yiyi-3439">Andreas Hilboll</span></li>
<li><span class="yiyi-st" id="yiyi-3440">Jev Kuznetsov</span></li>
<li><span class="yiyi-st" id="yiyi-3441">亚当利希滕斯坦</span></li>
<li><span class="yiyi-st" id="yiyi-3442">Wouter Overmeire</span></li>
<li><span class="yiyi-st" id="yiyi-3443">Fernando Perez</span></li>
<li><span class="yiyi-st" id="yiyi-3444">Nathan Pinger</span></li>
<li><span class="yiyi-st" id="yiyi-3445">基督教prinoth</span></li>
<li><span class="yiyi-st" id="yiyi-3446">Alex Reyfman</span></li>
<li><span class="yiyi-st" id="yiyi-3447">Joon Ro</span></li>
<li><span class="yiyi-st" id="yiyi-3448">张哲</span></li>
<li><span class="yiyi-st" id="yiyi-3449">泰德广场</span></li>
<li><span class="yiyi-st" id="yiyi-3450">克里斯&#xB7;乌加</span></li>
<li><span class="yiyi-st" id="yiyi-3451">Dieter Vandenbussche</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-6-0">
<h2><span class="yiyi-st" id="yiyi-3452">pandas 0.6.0</span></h2>
<p><span class="yiyi-st" id="yiyi-3453"><strong>发布日期：</strong> 11/25/2011</span></p>
<div class="section" id="id73">
<h3><span class="yiyi-st" id="yiyi-3454">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3455">像<cite>sum</cite>这样的算术方法将默认求和dtype =对象值，而不是排除它们（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/382">GH382</a>）</span></li>
</ul>
</div>
<div class="section" id="id74">
<h3><span class="yiyi-st" id="yiyi-3456">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3457">将<cite>熔化</cite>函数添加到<cite>pandas.core.reshape</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3458">在Series和DataFrame描述统计中（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/313">GH313</a>），将<cite>级别</cite>参数添加到逐个级别</span></li>
<li><span class="yiyi-st" id="yiyi-3459">将<cite>头</cite>和<cite>尾</cite>方法添加到Series，类似于DataFrame（PR <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/296">GH296</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3460">添加<cite>Series.isin</cite>函数，该函数检查每个值是否包含在传递的序列中（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/289">GH289</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3461">将<cite>float_format</cite>选项添加到<cite>Series.to_string</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3462">Add <cite>skip_footer</cite> (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/291">GH291</a>) and <cite>converters</cite> (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/343">GH343</a>) options to <cite>read_csv</cite> and <cite>read_table</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3463">对标准和面板OLS（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/303">GH303</a>）添加适当的测试加权最小二乘法</span></li>
<li><span class="yiyi-st" id="yiyi-3464">添加<cite>drop_duplicates</cite>和<cite>重复的</cite>功能，分别用于删除重复的DataFrame行和检查重复行（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/319">GH319</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3465">在DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/347">GH347</a>）上实现逻辑（布尔）运算符<code class="docutils literal"><span class="pre">&amp;</span></code>，<code class="docutils literal"><span class="pre">|</span></code>，<code class="docutils literal"><span class="pre">^</span></code></span></li>
<li><span class="yiyi-st" id="yiyi-3466">添加<cite>Series.mad</cite>，表示绝对偏差，匹配DataFrame</span></li>
<li><span class="yiyi-st" id="yiyi-3467">添加<cite>QuarterEnd</cite> DateOffset（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/321">GH321</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3468">将矩阵乘法函数<cite>点</cite>添加到DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/65">GH65</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3469">为<cite>Panel.from_dict</cite>添加<cite>orient</cite>选项，以简化混合类型面板的创建（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/359">GH359</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/301">GH301</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3470">使用类似的<cite>orient</cite>选项添加<cite>DataFrame.from_dict</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3471">现在可以将元组列表或列表列表传递到<cite>DataFrame.from_records</cite>，以便快速转换为DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/357">GH357</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3472">可以将多个级别传递给groupby，例如<cite>df.groupby（level = [0，1]）</cite>（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/103">GH103</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3473">可以通过<cite>DataFrame.sort_index</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/92">GH92</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/362">GH362</a>）中的多个列进行排序</span></li>
<li><span class="yiyi-st" id="yiyi-3474">将快速<cite>get_value</cite>和<cite>put_value</cite>方法添加到DataFrame和微性能调整（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/360">GH360</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3475">将<cite>cov</cite>实例方法添加到Series和DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/194">GH194</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/362">GH362</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3476">将条形图选项添加到<cite>DataFrame.plot</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/348">GH348</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3477">将<cite>idxmin</cite>和<cite>idxmax</cite>函数添加到Series和DataFrame，用于计算实现最大值和最小值的索引标签（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/286">GH286</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3478">添加<cite>read_clipboard</cite>函数用于从操作系统剪贴板解析DataFrame，应该跨平台工作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/300">GH300</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3479">将<cite>nunique</cite>函数添加到用于计算唯一元素的序列中（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/297">GH297</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3480">如果没有列传递（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/373">GH373</a>），DataFrame构造函数将使用系列名称</span></li>
<li><span class="yiyi-st" id="yiyi-3481">在read_table / read_csv中支持正则表达式和更长的分隔符，但不处理引用的字符串（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/364">GH364</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3482">添加<cite>DataFrame.to_html</cite>以将DataFrame格式化为HTML（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/387">GH387</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3483">MaskedArray可以传递给DataFrame构造函数，掩码值将被转换为NaN（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/396">GH396</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3484">添加<cite>DataFrame.boxplot</cite>函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/368">GH368</a>，其他）</span></li>
<li><span class="yiyi-st" id="yiyi-3485">可以将额外的args，kwds传递给DataFrame.apply（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/376">GH376</a>）</span></li>
</ul>
</div>
<div class="section" id="id75">
<h3><span class="yiyi-st" id="yiyi-3486">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3487">如果DateRange（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/298">GH298</a>）中的日期解析失败，请提高更有帮助的异常</span></li>
<li><span class="yiyi-st" id="yiyi-3488">在具有MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/299">GH299</a>）的轴上大幅提高GroupBy的性能</span></li>
<li><span class="yiyi-st" id="yiyi-3489">在系列repr（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/305">GH305</a>）中的层次索引中打印级别名称</span></li>
<li><span class="yiyi-st" id="yiyi-3490">在对所选列执行GroupBy时返回DataFrame，as_index = False（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/308">GH308</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3491">可以在<cite>DataFrame.join</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/312">GH312</a>）中的参数传递向量到<cite></cite></span></li>
<li><span class="yiyi-st" id="yiyi-3492">如果repr中没有系列名称，则不显示系列名称，也可以省略short系列的长度（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/317">GH317</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3493">默认情况下，在<cite>DataFrame.plot</cite>中显示图例，添加<cite>图例</cite>布尔标志（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/324">GH324</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3494">显着提高<cite>Series.order</cite>的性能，这也使得np.unique在系列上更快（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/327">GH327</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3495">在Series和DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/341">GH341</a>）中更快的级联计数</span></li>
<li><span class="yiyi-st" id="yiyi-3496">如果在Python 2.x运行时安装了dateutil 2.0（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/346">GH346</a>），则抛出异常</span></li>
<li><span class="yiyi-st" id="yiyi-3497">使用具有许多“空”组合的多个键的显着GroupBy性能增强</span></li>
<li><span class="yiyi-st" id="yiyi-3498">New Cython vectorized function <cite>map_infer</cite> speeds up <cite>Series.apply</cite> and <cite>Series.map</cite> significantly when passed elementwise Python function, motivated by <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/355">GH355</a></span></li>
<li><span class="yiyi-st" id="yiyi-3499">Cython化<cite>cache_readonly</cite>，从而在整个代码库（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/361">GH361</a>）中实现了显着的微型性能增强</span></li>
<li><span class="yiyi-st" id="yiyi-3500">特殊Cython矩阵迭代器，用于应用任意缩减操作，性能比<cite>np.apply_along_axis</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/309">GH309</a>）提高3-5倍</span></li>
<li><span class="yiyi-st" id="yiyi-3501">在传递的函数只需要一个ndarray（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/309">GH309</a>）时，将<cite>raw</cite>选项添加到<cite>DataFrame.apply</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3502">提高<cite>MultiIndex.from_tuples</cite>的效能</span></li>
<li><span class="yiyi-st" id="yiyi-3503">可以将多个级别传递到<cite>堆栈</cite>和<cite>取消堆栈</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/370">GH370</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3504">可以将多个值列传递到<cite>pivot_table</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/381">GH381</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3505">可以使用名称设置的标准索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/393">GH393</a>）调用<cite>DataFrame.delevel</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3506">在GroupBy中使用系列名称作为结果索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/363">GH363</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3507">Refactor Series / DataFrame stat方法使用常用的NaN友好函数集</span></li>
<li><span class="yiyi-st" id="yiyi-3508">在Cython转换例程中处理C级别的NumPy标量整数</span></li>
</ul>
</div>
<div class="section" id="id76">
<h3><span class="yiyi-st" id="yiyi-3509">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3510">在使用索引名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/290">GH290</a>）写入DataFrame时，修复<cite>DataFrame.to_csv</cite>中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3511">DataFrame应该在整合时清除其系列缓存，导致在某些角落情况下返回“陈旧”系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/304">GH304</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3512">如果列具有元组列表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/293">GH293</a>），则DataFrame构造函数失败</span></li>
<li><span class="yiyi-st" id="yiyi-3513">确保<cite>Series.apply</cite>始终返回一个系列并实现<cite>Series.round</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/314">GH314</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3514">支持Cython化groupby函数中的布尔列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/315">GH315</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3515">如果没有数字列，则<cite>DataFrame.describe</cite>不应失败，而应返回分类描述（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/323">GH323</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3516">修正可能导致在<cite>DataFrame.to_string</cite>中以错误的顺序打印列的错误（如果列的特定列表已通过（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/325">GH325</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3517">如果DataFrame列为整数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/326">GH326</a>），则修复图例绘图失败</span></li>
<li><span class="yiyi-st" id="yiyi-3518">将开始日期更改为Yahoo!</span><span class="yiyi-st" id="yiyi-3519">pandas.io.data中的财务API（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/329">GH329</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3520">修复未合并输入上的<cite>DataFrame.join</cite>失败（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/331">GH331</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3521">DataFrame.min / max将不会在混合类型DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/337">GH337</a>）上失败</span></li>
<li><span class="yiyi-st" id="yiyi-3522">修复<cite>read_csv</cite> / <cite>read_table</cite>在将列表传递到不按升序排列的index_col时发生故障（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/349">GH349</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3523">修复失败时传递Int64Index到Index.union当两者都是单调的</span></li>
<li><span class="yiyi-st" id="yiyi-3524">修复将SparseSeries传递到（密集）DataFrame构造函数时的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3525">在setup.py顶部添加了缺少的框（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/352">GH352</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3526">在MultiIndex上更改<cite>is_monotonic</cite>，以便正确比较元组</span></li>
<li><span class="yiyi-st" id="yiyi-3527">修复MultiIndex外连接逻辑（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/351">GH351</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3528">使用单键组别（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/358">GH358</a>）设置索引名称属性</span></li>
<li><span class="yiyi-st" id="yiyi-3529">在非交换操作（如字符串连接）（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/353">GH353</a>）中，在Series和DataFrame中反射二进制加法的错误修复</span></li>
<li><span class="yiyi-st" id="yiyi-3530">setupegg.py将调用Cython（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/192">GH192</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3531">在将列插入MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/366">GH366</a>）后修复块合并错误</span></li>
<li><span class="yiyi-st" id="yiyi-3532">修正Index和Int64Index（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/367">GH367</a>）之间的连接操作错误</span></li>
<li><span class="yiyi-st" id="yiyi-3533">在移动窗口函数中处理min_periods = 0情况（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/365">GH365</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3534">在DataFrame.apply / pivot中使用空数据框架（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/378">GH378</a>）修复了</span></li>
<li><span class="yiyi-st" id="yiyi-3535">当系列名称为元组时，修复repr异常</span></li>
<li><span class="yiyi-st" id="yiyi-3536">始终从<cite>asfreq</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/390">GH390</a>）返回DateRange</span></li>
<li><span class="yiyi-st" id="yiyi-3537">将级别名称传递到<cite>swaplavel</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/379">GH379</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3538">不要在<cite>MultiIndex.droplevel</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/394">GH394</a>）中丢失索引名称</span></li>
<li><span class="yiyi-st" id="yiyi-3539">如果没有列或行，则根据传递的函数是否减少（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/389">GH389</a>），在<cite>DataFrame.apply</cite>中推断更合适的返回类型</span></li>
<li><span class="yiyi-st" id="yiyi-3540">当所有行/列/值都为NA（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/384">GH384</a>）时，始终从Series.min / max和DataFrame.min / max返回NA /</span></li>
<li><span class="yiyi-st" id="yiyi-3541">使用.ix /高级索引（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/397">GH397</a>）启用部分设置</span></li>
<li><span class="yiyi-st" id="yiyi-3542">在卸载中正确处理混合类型DataFrames，不丢失类型信息（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/403">GH403</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3543">在Index.format和Series中修复整数名格式化错误.__ repr__</span></li>
<li><span class="yiyi-st" id="yiyi-3544">处理传递给groupby的字符串以外的标签类型（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/405">GH405</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3545">修复了当一个标签不包含在一个关卡中时，使用部分检索的基于.ix的索引中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3546">未索引索引名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/408">GH408</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3547">级别名称应传递给GroupBy.apply（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/416">GH416</a>）中的结果索引</span></li>
</ul>
</div>
<div class="section" id="id77">
<h3><span class="yiyi-st" id="yiyi-3548">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3549">Craig奥斯汀</span></li>
<li><span class="yiyi-st" id="yiyi-3550">Marius Cobzarenco</span></li>
<li><span class="yiyi-st" id="yiyi-3551">乔尔十字</span></li>
<li><span class="yiyi-st" id="yiyi-3552">杰夫&#xB7;哈默巴赫</span></li>
<li><span class="yiyi-st" id="yiyi-3553">亚当克莱因</span></li>
<li><span class="yiyi-st" id="yiyi-3554">托马斯Kluyver</span></li>
<li><span class="yiyi-st" id="yiyi-3555">Jev Kuznetsov</span></li>
<li><span class="yiyi-st" id="yiyi-3556">Kieran O&apos;Mahony</span></li>
<li><span class="yiyi-st" id="yiyi-3557">Wouter Overmeire</span></li>
<li><span class="yiyi-st" id="yiyi-3558">Nathan Pinger</span></li>
<li><span class="yiyi-st" id="yiyi-3559">基督教prinoth</span></li>
<li><span class="yiyi-st" id="yiyi-3560">船长海鸟</span></li>
<li><span class="yiyi-st" id="yiyi-3561">张哲</span></li>
<li><span class="yiyi-st" id="yiyi-3562">泰德广场</span></li>
<li><span class="yiyi-st" id="yiyi-3563">Aman Thakral</span></li>
<li><span class="yiyi-st" id="yiyi-3564">克里斯&#xB7;乌加</span></li>
<li><span class="yiyi-st" id="yiyi-3565">Dieter Vandenbussche</span></li>
<li><span class="yiyi-st" id="yiyi-3566">carljv</span></li>
<li><span class="yiyi-st" id="yiyi-3567">rsamson</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-5-0">
<h2><span class="yiyi-st" id="yiyi-3568">pandas 0.5.0</span></h2>
<p><span class="yiyi-st" id="yiyi-3569"><strong>发布日期：</strong> 10/24/2011</span></p>
<p><span class="yiyi-st" id="yiyi-3570">这个版本的pandas包括许多API更改（见下文）和从0.4.0之前的版本清理过时的API。</span><span class="yiyi-st" id="yiyi-3571">还有错误修复，新功能，大量显着的性能增强，并且包括一个新的ipython完成符钩子，以启用对DataFrame列访问和属性（新功能）的选项卡完成。</span></p>
<p><span class="yiyi-st" id="yiyi-3572">除了这里列出的从0.4.3到0.5.0的更改之外，次版本4.1，0.4.2和0.4.3带来了一些重要的新功能和性能改进，值得一看。</span></p>
<p><span class="yiyi-st" id="yiyi-3573">感谢所有的bug报告，贡献的补丁和一般提供反馈图书馆。</span></p>
<div class="section" id="id78">
<h3><span class="yiyi-st" id="yiyi-3574">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3575"><cite>index_col</cite>的<cite>read_table</cite>，<cite>read_csv</cite>和<cite>ExcelFile.parse</cite>默认参数现在为None。</span><span class="yiyi-st" id="yiyi-3576">要使用一个或多个列作为结果DataFrame的索引，必须明确指定这些列</span></li>
<li><span class="yiyi-st" id="yiyi-3577">默认情况下，解析函数<cite>read_csv</cite>不再解析日期（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/225">GH225</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3578">在面板回归中移除了不执行任何原则（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/155">GH155</a>）的<cite>权重</cite>选项</span></li>
<li><span class="yiyi-st" id="yiyi-3579">将<cite>Series.to_string</cite>中的<cite>缓冲</cite>参数名称更改为<cite>buf</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3580"><cite>Series.to_string</cite>和<cite>DataFrame.to_string</cite>现在默认返回字符串，而不是打印到sys.stdout</span></li>
<li><span class="yiyi-st" id="yiyi-3581">在各种<cite>to_string</cite>和<cite>to_csv</cite>函数中已弃用<cite>nanRep</cite>参数，有利于<cite>na_rep</cite>。</span><span class="yiyi-st" id="yiyi-3582">将在0.6（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/275">GH275</a>）中删除</span></li>
<li><span class="yiyi-st" id="yiyi-3583">在<cite>DataFrame.from_csv</cite>中将<cite>分隔符</cite>重命名为<cite>sep</cite>以保持一致性</span></li>
<li><span class="yiyi-st" id="yiyi-3584">更改<cite>Series.clip</cite>参数的顺序以与<cite>numpy.clip</cite>和添加的（未实现的）<cite>out</cite>参数的顺序相匹配，因此<cite>numpy.clip 可以在系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/272">GH272</a>）上调用</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3594">系列函数已重命名（因此已弃用）在0.4系列中已删除：</span><ul>
<li><span class="yiyi-st" id="yiyi-3585"><cite>asOf</cite>，请使用<cite>asof</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3586"><cite>toDict</cite>，请使用<cite>to_dict</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3587"><cite>toString</cite>，请使用<cite>to_string</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3588"><cite>toCSV</cite>，请使用<cite>to_csv</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3589"><cite>合并</cite>，使用<cite>地图</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3590"><cite>applymap</cite>，使用<cite>应用</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3591"><cite>combineFirst</cite>，请使用<cite>combine_first</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3592"><cite>_firstTimeWithValue</cite>使用<cite>first_valid_index</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3593"><cite>_lastTimeWithValue</cite>使用<cite>last_valid_index</cite></span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3614">在0.4系列中重命名/弃用的DataFrame函数已删除：</span><ul>
<li><span class="yiyi-st" id="yiyi-3595"><cite>asMatrix</cite>方法，使用<cite>as_matrix</cite>或<cite>值</cite>属性</span></li>
<li><span class="yiyi-st" id="yiyi-3596"><cite>combineFirst</cite>，请使用<cite>combine_first</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3597"><cite>getXS</cite>，使用<cite>xs</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3598"><cite>合并</cite>，使用<cite>加入</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3599"><cite>fromRecords</cite>，请使用<cite>from_records</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3600"><cite>fromcsv</cite>，请使用<cite>from_csv</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3601"><cite>toRecords</cite>，请使用<cite>to_records</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3602"><cite>toDict</cite>，请使用<cite>to_dict</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3603"><cite>toString</cite>，请使用<cite>to_string</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3604"><cite>toCSV</cite>，请使用<cite>to_csv</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3605"><cite>_firstTimeWithValue</cite>使用<cite>first_valid_index</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3606"><cite>_lastTimeWithValue</cite>使用<cite>last_valid_index</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3607"><cite>toDataMatrix</cite>不再需要</span></li>
<li><span class="yiyi-st" id="yiyi-3608"><cite>rows()</cite>方法，使用<cite>index</cite>属性</span></li>
<li><span class="yiyi-st" id="yiyi-3609"><cite>cols()</cite>方法，使用<cite>列</cite>属性</span></li>
<li><span class="yiyi-st" id="yiyi-3610"><cite>dropEmptyRows()</cite>，使用<cite>dropna（how =&apos;all&apos;）</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3611"><cite>dropIncompleteRows()</cite>，使用<cite>dropna()</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3612"><cite>tapply（f）</cite>，使用<cite>apply（f，axis = 1）</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3613"><cite>tgroupby（keyfunc，aggfunc）</cite>，使用<cite>groupby</cite>与<cite>axis = 1</cite></span></li>
</ul>
</li>
</ul>
</div>
<div class="section" id="deprecations-removed">
<h3><span class="yiyi-st" id="yiyi-3615">Deprecations Removed</span></h3>
<blockquote>
<div><ul class="simple">
<li><span class="yiyi-st" id="yiyi-3616"><cite>indexField</cite>参数<cite>DataFrame.from_records</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3617"><cite>Series.order</cite>中的<cite>missingAtEnd</cite>参数。</span><span class="yiyi-st" id="yiyi-3618">请改用<cite>na_last</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3619"><cite>Series.fromValue</cite>类方法，改用常规<cite>Series</cite>构造函数</span></li>
<li><span class="yiyi-st" id="yiyi-3620"><cite>pandas.io.parsers</cite>中的函数<cite>parseCSV</cite>，<cite>parseText</cite>和<cite>parseExcel</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3621"><cite>Index.asOfDate</cite>函数</span></li>
<li><span class="yiyi-st" id="yiyi-3622"><cite>Panel.getMinorXS</cite>（使用<cite>minor_xs</cite>）和<cite>Panel.getMajorXS</cite>（使用<cite>major_xs</cite>）</span></li>
<li><span class="yiyi-st" id="yiyi-3623"><cite>Panel.toWide</cite>，请改用<cite>Panel.to_wide</cite></span></li>
</ul>
</div></blockquote>
</div>
<div class="section" id="id79">
<h3><span class="yiyi-st" id="yiyi-3624">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3625">添加了带有标准连接选项的<cite>DataFrame.align</cite>方法</span></li>
<li><span class="yiyi-st" id="yiyi-3626">向<cite>read_csv</cite>和<cite>read_table</cite>方法添加了<cite>parse_dates</cite>选项，可选择尝试解析索引列中的日期</span></li>
<li><span class="yiyi-st" id="yiyi-3627">将<cite>nrows</cite>，<cite>chunksize</cite>和<cite>迭代器</cite>参数添加到<cite>read_csv</cite>和<cite>read_table</cite>。</span><span class="yiyi-st" id="yiyi-3628">最后两个返回一个新的<cite>TextParser</cite>类，它能够通过平面文件的块（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/242">GH242</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3629">添加了在<cite>DataFrame.join</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/214">GH214</a>）中的多个列上加入的功能</span></li>
<li><span class="yiyi-st" id="yiyi-3630">已将私人<cite>_get_duplicates</cite>函数添加到<cite>索引</cite>，以更轻松地识别重复值</span></li>
<li><span class="yiyi-st" id="yiyi-3631">添加了对DataFrame的列属性访问权限，例如如果&apos;A&apos;是DataFrame中的列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/213">GH213</a>），则df.A等价于df [&apos;A&apos;]</span></li>
<li><span class="yiyi-st" id="yiyi-3632">为DataFrame列添加了IPython选项卡完成钩子。</span><span class="yiyi-st" id="yiyi-3633">（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/233">GH233</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/230">GH230</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3634">对包含对象的系列实现<cite>Series.describe</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/241">GH241</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3635">当加入键（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/248">GH248</a>）时，将内部连接选项添加到<cite>DataFrame.join</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3636">可以通过将列表传递到<cite>__ getitem __</cite>（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/253">GH253</a>）来选择一组DataFrame列</span></li>
<li><span class="yiyi-st" id="yiyi-3637">可以使用＆和|到交叉/联合索引对象（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/261">GH261</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3638">向pandas命名空间（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/234">GH234</a>）添加了<cite>pivot_table</cite>便利功能</span></li>
<li><span class="yiyi-st" id="yiyi-3639">已实施<cite>Panel.rename_axis</cite>函数（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/243">GH243</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3640">DataFrame将在控制台输出中显示索引级别名称</span></li>
<li><span class="yiyi-st" id="yiyi-3641">已实施<cite>Panel.take</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3642">添加<cite>set_eng_float_format</cite>函数以设置替代DataFrame浮点字符串格式</span></li>
<li><span class="yiyi-st" id="yiyi-3643">添加方便<cite>set_index</cite>函数用于从现有列创建DataFrame索引</span></li>
</ul>
</div>
<div class="section" id="id80">
<h3><span class="yiyi-st" id="yiyi-3644">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3645">文件解析函数<cite>read_csv</cite>和<cite>read_table</cite>的主要性能改进</span></li>
<li><span class="yiyi-st" id="yiyi-3646">增加了Cython函数，用于将元组转换为ndarray的速度非常快。</span><span class="yiyi-st" id="yiyi-3647">加快许多MultiIndex相关操作</span></li>
<li><span class="yiyi-st" id="yiyi-3648">像<cite>read_csv</cite>和<cite>read_table</cite>之类的文件解析函数将显式检查解析的索引是否有重复，并引发更有帮助的异常，而不是推迟检查直到稍后</span></li>
<li><span class="yiyi-st" id="yiyi-3649">将重构的合并/连接代码转换为整齐的类，并在float / object情况下禁用不必要的计算，从而使性能提升10％（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/211">GH211</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3650">将混合类型DataFrame对象上的<cite>DataFrame.xs</cite>的速度提高了约5倍，从0.3.0回归（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/215">GH215</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3651">使用新的<cite>DataFrame.align</cite>方法，可以将不同索引的DataFrame对象之间的二进制操作加速10-25％。</span></li>
<li><span class="yiyi-st" id="yiyi-3652">显着加快了嵌套dict转换为DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/212">GH212</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3653">如果需要，可以将层次索引级别名称传递到<cite>groupby</cite>而不是级别编号（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/223">GH223</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3654">在<cite>DataFrame.to_csv</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/244">GH244</a>）中添加对不同分隔符的支持</span></li>
<li><span class="yiyi-st" id="yiyi-3655">添加更多有用的错误消息，当从源目录（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/250">GH250</a>）导入大熊猫安装后</span></li>
<li><span class="yiyi-st" id="yiyi-3656">在大型混合类型DataFrame对象上显着加快DataFrame <cite>__ repr __</cite>和<cite>计数</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3657">在Cython模块构建中更好地处理pyx文件依赖性（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/271">GH271</a>）</span></li>
</ul>
</div>
<div class="section" id="id81">
<h3><span class="yiyi-st" id="yiyi-3658">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3665"><cite>read_csv</cite> / <cite>read_table</cite>修复</span><ul>
<li><span class="yiyi-st" id="yiyi-3659">在诸如1.0,2.0等整数的浮点表示的情况下，转换float-&gt; int不太积极。</span></li>
<li><span class="yiyi-st" id="yiyi-3660">“True”/“False”将无法正确转换为布尔值</span></li>
<li><span class="yiyi-st" id="yiyi-3661">指定索引列时将设置索引名称属性</span></li>
<li><span class="yiyi-st" id="yiyi-3662">传递列名称应强制<cite>header = None</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/257">GH257</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3663">当<cite>index_col</cite>不是无（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/258">GH258</a>）时，请勿修改传递的列名称</span></li>
<li><span class="yiyi-st" id="yiyi-3664">可以在zip文件中嗅闻CSV分隔符（因为不支持seek，以前失败）</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3666">围绕matplotlib“bug”，其中[：，np.newaxis]失败。</span><span class="yiyi-st" id="yiyi-3667">应向上游报告matplotlib（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/224">GH224</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3668">DataFrame.iteritems未返回具有name属性集的Series。</span><span class="yiyi-st" id="yiyi-3669">DataFrame._series也不是</span></li>
<li><span class="yiyi-st" id="yiyi-3670">可以在HDFStore中存储datetime.date对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/231">GH231</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3671">索引和系列名称现在存储在HDFStore中</span></li>
<li><span class="yiyi-st" id="yiyi-3672">修复了在GroupBy.apply操作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/237">GH237</a>）中将数据上传到对象dtype的问题</span></li>
<li><span class="yiyi-st" id="yiyi-3673">固定外部连接错误与空DataFrame（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/238">GH238</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3674">可以创建空面板（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/239">GH239</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3675">在传递带有1个条目的列表（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/246">GH246</a>）时修复单键上的联接</span></li>
<li><span class="yiyi-st" id="yiyi-3676">在使用all-NA列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/251">GH251</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/254">GH254</a>）绘制DataFrame时，请勿引发异常</span></li>
<li><span class="yiyi-st" id="yiyi-3677">在整数DataFrames（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/241">GH241</a>）上调用时出错最小/最大错误</span></li>
<li><span class="yiyi-st" id="yiyi-3678"><cite>DataFrame.iteritems</cite>和<cite>DataFrame._series</cite>不分配名称属性</span></li>
<li><span class="yiyi-st" id="yiyi-3679">面板.__ repr__引发长度为0的长轴/短轴异常</span></li>
<li><span class="yiyi-st" id="yiyi-3680"><cite>DataFrame.join</cite>在具有空DataFrame的键上生成不正确的列</span></li>
<li><span class="yiyi-st" id="yiyi-3681">已实施<cite>MultiIndex.diff</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/260">GH260</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3682"><cite>Int64Index.take</cite>和<cite>MultiIndex.take</cite>丢失名称字段，修复下游问题<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/262">GH262</a></span></li>
<li><span class="yiyi-st" id="yiyi-3683">可以将元组列表传递到<cite>系列</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/270">GH270</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3684">可以将级别名称传递到<cite>DataFrame.stack</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3685">支持在MultiIndex和Index之间设置操作</span></li>
<li><span class="yiyi-st" id="yiyi-3686">修复MultiIndex集合操作中的许多角落案例 - 修复MultiIndex处理错误与GroupBy.apply当返回的组没有索引相同</span></li>
<li><span class="yiyi-st" id="yiyi-3687">修复DataFrame.apply中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3688">设置DataFrame索引没有导致系列缓存得到清除</span></li>
<li><span class="yiyi-st" id="yiyi-3689">各种int32  - &gt; int64平台特定的问题</span></li>
<li><span class="yiyi-st" id="yiyi-3690">使用MultiIndex（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/285">GH285</a>）解析文件时，不要过于激烈地转换为整数</span></li>
<li><span class="yiyi-st" id="yiyi-3691">修正切片时的错误开始前带有负索引的系列</span></li>
</ul>
</div>
<div class="section" id="id82">
<h3><span class="yiyi-st" id="yiyi-3692">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3693">托马斯Kluyver</span></li>
<li><span class="yiyi-st" id="yiyi-3694">丹尼尔Fortunov</span></li>
<li><span class="yiyi-st" id="yiyi-3695">Aman Thakral</span></li>
<li><span class="yiyi-st" id="yiyi-3696">Luca Beltrame</span></li>
<li><span class="yiyi-st" id="yiyi-3697">Wouter Overmeire</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-4-3">
<h2><span class="yiyi-st" id="yiyi-3698">pandas 0.4.3</span></h2>
<p><span class="yiyi-st" id="yiyi-3699"><strong>发布日期：</strong> 10/9/2011</span></p>
<p><span class="yiyi-st" id="yiyi-3700">是很大程度上从0.4.2的bug修复版本，但也包括一些新的增强功能。</span><span class="yiyi-st" id="yiyi-3701">此外，熊猫现在可以安装和使用的Python 3绞盘Thomas Kluyver！</span><span class="yiyi-st" id="yiyi-3702">）。</span></p>
<div class="section" id="id83">
<h3><span class="yiyi-st" id="yiyi-3703">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3704">Python 3支持使用2to3（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/200">GH200</a>，Thomas Kluyver）</span></li>
<li><span class="yiyi-st" id="yiyi-3705">将<cite>名称</cite>属性添加到<cite>Series</cite>并添加了相关的逻辑和测试。</span><span class="yiyi-st" id="yiyi-3706">名称现在打印为<cite>Series .__ repr __</cite>的一部分</span></li>
<li><span class="yiyi-st" id="yiyi-3707">将<cite>名称</cite>属性添加到标准索引，以便堆叠/拆散不会丢弃名称，以便索引的DataFrame对象可以可靠地往返到平面文件，pickle，HDF5等。</span></li>
<li><span class="yiyi-st" id="yiyi-3708">在系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/209">GH209</a>，<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/203">GH203</a>）上添加<cite>isnull</cite>和<cite>notnull </cite></span></li>
</ul>
</div>
<div class="section" id="id84">
<h3><span class="yiyi-st" id="yiyi-3709">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3710">如果未安装，请跳过xlrd相关的单元测试</span></li>
<li><span class="yiyi-st" id="yiyi-3711"><cite>Index.append</cite>和<cite>MultiIndex.append</cite>可以接受要连接在一起的Index对象的列表</span></li>
<li><span class="yiyi-st" id="yiyi-3712">对不同索引的SparseSeries对象进行改变的二进制运算，以使用基于整数的（密集）对齐逻辑，该逻辑对于更大数量的块（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/205">GH205</a>）更快，</span></li>
<li><span class="yiyi-st" id="yiyi-3713">重构<cite>系列.__ repr __</cite>是一个更干净和一致</span></li>
</ul>
</div>
<div class="section" id="id85">
<h3><span class="yiyi-st" id="yiyi-3714">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3715"><cite>Series.describe</cite>和<cite>DataFrame.describe</cite>现在带来25％和75％四分位数，而不是10％和90％十分位数。</span><span class="yiyi-st" id="yiyi-3716">其他输出没有改变</span></li>
<li><span class="yiyi-st" id="yiyi-3717"><cite>Series.toString</cite>将打印废弃警告，已被de-camelCased到<cite>to_string</cite></span></li>
</ul>
</div>
<div class="section" id="id86">
<h3><span class="yiyi-st" id="yiyi-3718">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3719">修复调用交集时<cite>索引</cite>和<cite>Int64Index</cite>之间的交互干扰。</span><span class="yiyi-st" id="yiyi-3720">实施<cite>Int64Index.intersection</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3721"><cite>MultiIndex.sortlevel</cite>丢弃级别名称（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/202">GH202</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3722">修复由于<cite>MultiIndex</cite>对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/201">GH201</a>）的不当连接而导致的groupby，join和append中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-3723">修复从0.4.1，<cite>isnull</cite>和<cite>notnull</cite>的回归停止在其他类型的标量对象，如<cite>datetime.datetime</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3724">尝试将空DataFrame或LongPanel写入<cite>HDFStore</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/204">GH204</a>）时提高更有帮助的异常</span></li>
<li><span class="yiyi-st" id="yiyi-3725">使用stdlib csv模块在<cite>DataFrame.to_csv</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/206">GH206</a>，Thomas Kluyver）中使用逗号正确转义字符串，</span></li>
<li><span class="yiyi-st" id="yiyi-3726">修复Python ndarray访问Cython代码中的稀疏阻塞索引完整性检查</span></li>
<li><span class="yiyi-st" id="yiyi-3727">修复错误写入系列到Python 3中的CSV（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/209">GH209</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3728">其他Python 3错误修正</span></li>
</ul>
</div>
<div class="section" id="id87">
<h3><span class="yiyi-st" id="yiyi-3729">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3730">托马斯Kluyver</span></li>
<li><span class="yiyi-st" id="yiyi-3731">rsamson</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-4-2">
<h2><span class="yiyi-st" id="yiyi-3732">pandas 0.4.2</span></h2>
<p><span class="yiyi-st" id="yiyi-3733"><strong>发布日期：</strong> 10/3/2011</span></p>
<p><span class="yiyi-st" id="yiyi-3734">是一个具有几个错误修复的性能优化版本。</span><span class="yiyi-st" id="yiyi-3735">新的t64Index和新的合并/加入Cython代码和相关的Python基础设施是主要的新增内容</span></p>
<div class="section" id="id88">
<h3><span class="yiyi-st" id="yiyi-3736">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3737">添加了具有专用连接，联合，交集的快速<cite>Int64Index</cite>类型。</span><span class="yiyi-st" id="yiyi-3738">将导致基于int64的时间系列的显着性能增强（例如，使用NumPy的datetime64一天），以及对存储记录数组类数据的DataFrame对象的更快的操作。</span></li>
<li><span class="yiyi-st" id="yiyi-3739">重构的<cite>索引</cite>类具有<cite>连接</cite>方法和整个代码库中的关联数据对齐例程，以便能够利用优化的连接/合并例程。</span></li>
<li><span class="yiyi-st" id="yiyi-3740">添加了<cite>Series.align</cite>方法，用于通过选择连接方法对齐两个系列</span></li>
<li><span class="yiyi-st" id="yiyi-3741">编写更快的Cython数据对齐/合并例程，导致实质性的速度增加</span></li>
<li><span class="yiyi-st" id="yiyi-3742">将<cite>is_monotonic</cite>属性添加到具有关联Cython代码的<cite>索引</cite>类中，以评估<cite>Index</cite>值的单调性</span></li>
<li><span class="yiyi-st" id="yiyi-3743">将方法<cite>get_level_values</cite>添加到<cite>MultiIndex</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3744">在<cite>DataFrame</cite>内部实现<cite>BlockManager</cite>对象的浅拷贝</span></li>
</ul>
</div>
<div class="section" id="id89">
<h3><span class="yiyi-st" id="yiyi-3745">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3746">改进了<cite>isnull</cite>和<cite>notnull</cite>的性能，从v0.3.0（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/187">GH187</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3747">写模板/代码生成脚本自动生成Cython代码为各种功能，需要可用于4种主要的数据类型用于熊猫（float64，bool，object，int64）</span></li>
<li><span class="yiyi-st" id="yiyi-3748">与<cite>DataFrame.join</cite>相关的重构代码，以便不需要创建每个<cite>DataFrame</cite>参数中的数据的中间对齐副本。</span><span class="yiyi-st" id="yiyi-3749">大幅提升效果（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/176">GH176</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3750">基本上改进了通用<cite>Index.intersection</cite>和<cite>Index.union</cite>的性能</span></li>
<li><span class="yiyi-st" id="yiyi-3751">改进了<cite>DateRange.union</cite>的性能，重叠范围和不可缓存的偏移量（如Minute）。</span><span class="yiyi-st" id="yiyi-3752">对重叠范围实施类似快速<cite>DateRange.intersection</cite>。</span></li>
<li><span class="yiyi-st" id="yiyi-3753">已实施<cite>BlockManager.take</cite>，可在混合类型<cite>DataFrame</cite>对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/104">GH104</a>）上显着提高<cite></cite></span></li>
<li><span class="yiyi-st" id="yiyi-3754">改进了<cite>Series.sort_index</cite>的性能</span></li>
<li><span class="yiyi-st" id="yiyi-3755">显着的groupby性能增强：在DataFrame内部中删除不必要的完整性检查，减慢了切片操作以检索组</span></li>
<li><span class="yiyi-st" id="yiyi-3756">在将dict传递给DataFrame groupby聚合时使用axis！= 0添加信息性异常</span></li>
</ul>
</div>
<div class="section" id="id90">
<h3><span class="yiyi-st" id="yiyi-3757">API Changes</span></h3>
</div>
<div class="section" id="id91">
<h3><span class="yiyi-st" id="yiyi-3758">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3759">修复了执行快速群组聚合操作的Cython代码中的未处理的未处理异常</span></li>
<li><span class="yiyi-st" id="yiyi-3760">修正了在堆栈代码中超过3个层级的bug</span></li>
<li><span class="yiyi-st" id="yiyi-3761">在基于标签的切片中指定步骤（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/185">GH185</a>）时抛出异常</span></li>
<li><span class="yiyi-st" id="yiyi-3762">修复isnull正确使用np.float32。</span><span class="yiyi-st" id="yiyi-3763">修复<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/182">GH182</a>中描述的上游缺陷</span></li>
<li><span class="yiyi-st" id="yiyi-3764">在groupby中为DataFrame聚合（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/181">GH181</a>）完成as_index = False的实现</span></li>
<li><span class="yiyi-st" id="yiyi-3765">为纪元前HDFStore故障升高SkipTest。</span><span class="yiyi-st" id="yiyi-3766">实际修复将通过datetime64 dtype整理</span></li>
</ul>
</div>
<div class="section" id="id92">
<h3><span class="yiyi-st" id="yiyi-3767">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3768">Uri Laserson</span></li>
<li><span class="yiyi-st" id="yiyi-3769">Scott Sinclair</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-4-1">
<h2><span class="yiyi-st" id="yiyi-3770">pandas 0.4.1</span></h2>
<p><span class="yiyi-st" id="yiyi-3771"><strong>发布日期：</strong> 9/25/2011</span></p>
<p><span class="yiyi-st" id="yiyi-3772">是主要是一个bug修复版本，但包括一些新的功能和改进</span></p>
<div class="section" id="id93">
<h3><span class="yiyi-st" id="yiyi-3773">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3774">添加了新的<cite>DataFrame</cite>方法<cite>get_dtype_counts</cite>和属性<cite>dtypes</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3775">Setting of values using <code class="docutils literal"><span class="pre">.ix</span></code> indexing attribute in mixed-type DataFrame objects has been implemented (fixes <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/135">GH135</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-3776"><cite>read_csv</cite>可以将多个列读取到<cite>MultiIndex</cite>中。</span><span class="yiyi-st" id="yiyi-3777">DataFrame的<cite>to_csv</cite>方法将正确写出一个可以读回的<cite>MultiIndex</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/151">GH151</a>，感谢Skipper Seabold）</span></li>
<li><span class="yiyi-st" id="yiyi-3778">在Cython中编写了快速时间序列合并/连接方法。</span><span class="yiyi-st" id="yiyi-3779">将以后集成到DataFrame.join和相关函数中</span></li>
<li><span class="yiyi-st" id="yiyi-3780">向<cite>DataFrame.append</cite>添加了<cite>ignore_index</cite>选项，用于组合存储在DataFrame中的非索引记录</span></li>
</ul>
</div>
<div class="section" id="id94">
<h3><span class="yiyi-st" id="yiyi-3781">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3782">一些速度增强与内部索引类型检查功能</span></li>
<li><span class="yiyi-st" id="yiyi-3783"><cite>DataFrame.rename</cite>有一个新的<cite>复制</cite>参数，可以重新命名DataFrame</span></li>
<li><span class="yiyi-st" id="yiyi-3784">按级别名称启用卸载（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/142">GH142</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3785">按级别名称启用排序级别工作（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/141">GH141</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3786"><cite>read_csv</cite>可以使用<cite>csv.Sniffer</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/146">GH146</a>）自动“嗅探”其他种类的分隔符</span></li>
<li><span class="yiyi-st" id="yiyi-3787">改进单元测试套件的速度约40％</span></li>
<li><span class="yiyi-st" id="yiyi-3788">在不存在的节点上使用where子句调用<cite>HDFStore.remove</cite>将不会引发异常</span></li>
<li><span class="yiyi-st" id="yiyi-3789">优化的<cite>_ensure_index</cite>函数导致在类型检查中索引对象的性能节省</span></li>
</ul>
</div>
<div class="section" id="id95">
<h3><span class="yiyi-st" id="yiyi-3790">API Changes</span></h3>
</div>
<div class="section" id="id96">
<h3><span class="yiyi-st" id="yiyi-3791">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3792">固定的DataFrame构造函数错误导致下游问题（例如.copy()失败）时传递一个Series作为值与列名和索引</span></li>
<li><span class="yiyi-st" id="yiyi-3793">在DataFrame上固定单键组别，其中as_index = False（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/160">GH160</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3794"><cite>Series.shift</cite>在整数系列（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/154">GH154</a>）上发生故障</span></li>
<li><span class="yiyi-st" id="yiyi-3795"><cite>unfack</cite>方法在重复分层标签的情况下产生不正确的输出。</span><span class="yiyi-st" id="yiyi-3796">现在将出现异常（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/147">GH147</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3797">调用具有级别参数的<cite>计数</cite>会导致之前的NumPy（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/169">GH169</a>）中的reduceat故障或segfault</span></li>
<li><span class="yiyi-st" id="yiyi-3798">修复<cite>DataFrame.corrwith</cite>以自动排除非数字数据（GH <a class="reference external" href="https://github.com/pandas-dev/pandas/issues/144">GH144</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3799">Unicode处理<cite>DataFrame.to_string</cite>（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/138">GH138</a>）中的错误修复</span></li>
<li><span class="yiyi-st" id="yiyi-3800">排除导致平台特定故障（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/149">GH149</a>）的OLS简并单元测试用例</span></li>
<li><span class="yiyi-st" id="yiyi-3801">Skip blosc-dependent unit tests for PyTables &lt; 2.2 (<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/137">GH137</a>)</span></li>
<li><span class="yiyi-st" id="yiyi-3802">调用<cite>DateRange</cite>上的<cite>复制</cite>没有将属性复制到新对象（<a class="reference external" href="https://github.com/pandas-dev/pandas/issues/168">GH168</a>）</span></li>
<li><span class="yiyi-st" id="yiyi-3803">修复<cite>HDFStore</cite>中的错误，其中Panel数据可以附加到具有不同项顺序的表，从而导致读取不正确的结果</span></li>
</ul>
</div>
<div class="section" id="id97">
<h3><span class="yiyi-st" id="yiyi-3804">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3805">雅罗斯拉夫Halchenko</span></li>
<li><span class="yiyi-st" id="yiyi-3806">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-3807">船长海鸟</span></li>
<li><span class="yiyi-st" id="yiyi-3808">Dan Lovell</span></li>
<li><span class="yiyi-st" id="yiyi-3809">尼克Pentreath</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-4-0">
<h2><span class="yiyi-st" id="yiyi-3810">pandas 0.4.0</span></h2>
<p><span class="yiyi-st" id="yiyi-3811"><strong>发布日期：</strong> 9/12/2011</span></p>
<div class="section" id="id98">
<h3><span class="yiyi-st" id="yiyi-3812">New Features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3813"><cite>pandas.core.sparse</cite> module: “Sparse” (mostly-NA, or some other fill value) versions of <cite>Series</cite>, <cite>DataFrame</cite>, and <cite>Panel</cite>. </span><span class="yiyi-st" id="yiyi-3814">对于低密度数据，这将导致显着的性能提升和更小的内存占用。</span><span class="yiyi-st" id="yiyi-3815">向<cite>系列</cite>，<cite>DataFrame</cite>和<cite>面板</cite>添加了<cite>to_sparse</cite>方法。</span><span class="yiyi-st" id="yiyi-3816">有关这些的更多信息，请参阅联机文档</span></li>
<li><span class="yiyi-st" id="yiyi-3820">Series / DataFrame上的花式索引操作符，例如通过.ix操作符。</span><span class="yiyi-st" id="yiyi-3821">支持获取和设置值；然而，设置值仅当前在均匀类型的DataFrame对象上工作。</span><span class="yiyi-st" id="yiyi-3822">像：</span><ul>
<li><span class="yiyi-st" id="yiyi-3817">系列。[[d1，d2，d3]]</span></li>
<li><span class="yiyi-st" id="yiyi-3818">frame.ix [5:10，[&apos;C&apos;，&apos;B&apos;，&apos;A&apos;]]，frame.ix [5:10，&apos;A&apos;：&apos;C&apos;]</span></li>
<li><span class="yiyi-st" id="yiyi-3819">frame.ix [date1：​​date2]</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3828">显着增强了<cite>groupby</cite>功能</span><ul>
<li><span class="yiyi-st" id="yiyi-3823">可以组合多个键，例如df.groupby（[&apos;key1&apos;，&apos;key2&apos;]）。</span><span class="yiyi-st" id="yiyi-3824">迭代与多个分组产品一个扁平的元组</span></li>
<li><span class="yiyi-st" id="yiyi-3825">“不一致”列（不可聚合）将自动从DataFrame聚合操作中排除</span></li>
<li><span class="yiyi-st" id="yiyi-3826">添加自动“分派到Series / DataFrame方法以更容易地调用组上的方法。</span><span class="yiyi-st" id="yiyi-3827">例如即使<cite>std</cite>未在<cite>GroupBy</cite>类上实现，s.groupby（crit）.std</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3832">分层/多级索引</span><ul>
<li><span class="yiyi-st" id="yiyi-3829">新建<cite>MultiIndex</cite>类。</span><span class="yiyi-st" id="yiyi-3830">将<cite>MultiIndex</cite>整合到<cite>系列</cite>和<cite>DataFrame</cite>中，将奇异索引，切片，__getitem__和__setitem重新建立索引等。</span><span class="yiyi-st" id="yiyi-3831">向<cite>groupby</cite>添加了<cite>级</cite>关键字参数，以启用按<cite>MultiIndex</cite></span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3834">在DataFrame和系列上的新数据重塑功能：<cite>stack</cite>和<cite>unfack</cite></span><ul>
<li><span class="yiyi-st" id="yiyi-3833">与MultiIndex集成以支持复杂的数据重整</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3835"><cite>索引</cite>对象（轴的标签）现在能够保存元组</span></li>
<li><span class="yiyi-st" id="yiyi-3836"><cite>Series.describe</cite>，<cite>DataFrame.describe</cite>：生成一个类似R的表格，其中包含每个数据列的摘要统计信息</span></li>
<li><span class="yiyi-st" id="yiyi-3837"><cite>DataFrame.quantile</cite>，<cite>Series.quantile</cite>用于计算请求轴上的数据样本分位数</span></li>
<li><span class="yiyi-st" id="yiyi-3838">添加了一般的<cite>DataFrame.dropna</cite>方法来替换<cite>dropIncompleteRows</cite>和<cite>dropEmptyRows</cite>，不赞成使用。</span></li>
<li><span class="yiyi-st" id="yiyi-3839"><cite>系列</cite>算术方法，带有可选的fill_value用于缺少数据，例如a.add（b，fill_value = 0）。</span><span class="yiyi-st" id="yiyi-3840">如果一个位置缺失，它仍然会丢失在结果中。</span></li>
<li><span class="yiyi-st" id="yiyi-3841">fill_value选项已添加到<cite>DataFrame</cite>。</span><span class="yiyi-st" id="yiyi-3842">{add，mul，sub，div}方法类似于<cite>Series</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3843">使用<cite>DataFrame</cite>对象的布尔索引：data [data&gt; 0.1] = 0.1或data [data&gt; other] = 1。</span></li>
<li><span class="yiyi-st" id="yiyi-3845"><cite>DateRange</cite>中的<cite>pytz</cite> / tzinfo支持</span><ul>
<li><span class="yiyi-st" id="yiyi-3844"><cite>tz_localize</cite>，<cite>tz_normalize</cite>和<cite>tz_validate</cite>方法</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3846">将<cite>ExcelFile</cite>类添加到<cite>pandas.io.parsers</cite>，用于从单个Excel 2003文档解析多个图纸</span></li>
<li><span class="yiyi-st" id="yiyi-3847"><cite>GroupBy</cite>聚合现在可以选择<em>广播</em>，例如生成与传播的聚合值相同大小的对象</span></li>
<li><span class="yiyi-st" id="yiyi-3848">在所有数据结构中添加了<cite>选择</cite>功能：基于任意标准（函数返回布尔值）的reindex轴，例如。 frame.select（lambda x：x，&apos;foo&apos;in x，axis = 1）</span></li>
<li><span class="yiyi-st" id="yiyi-3849"><cite>DataFrame.consolidate</cite>方法，与重新设计的内部结构相关的API函数</span></li>
<li><span class="yiyi-st" id="yiyi-3850"><cite>DataFrame.insert</cite>方法在指定位置插入列，而不是默认的__setitem__行为（将其放在结尾）</span></li>
<li><span class="yiyi-st" id="yiyi-3851"><cite>pandas.io.pytables</cite>中的<cite>HDFStore</cite>类已使用来自其他人的Jeff Reback的修补程序大量重写。</span><span class="yiyi-st" id="yiyi-3852">它现在支持混合类型<cite>DataFrame</cite>和<cite>系列</cite>数据，并且可以存储<cite>面板</cite>对象。</span><span class="yiyi-st" id="yiyi-3853">它还可以选择查询<cite>DataFrame</cite>和<cite>面板</cite>数据。</span><span class="yiyi-st" id="yiyi-3854">从代码中显式支持从旧版<cite>HDFStore</cite>加载数据</span></li>
<li><span class="yiyi-st" id="yiyi-3855">添加了<cite>set_printoptions</cite>方法来修改DataFrame表单输出的外观</span></li>
<li><span class="yiyi-st" id="yiyi-3856"><cite>rolling_quantile</cite>函数；移动版本<cite>Series.quantile</cite> / <cite>DataFrame.quantile</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3857">通用<cite>rolling_apply</cite>移动窗口函数</span></li>
<li><span class="yiyi-st" id="yiyi-3858">将<cite>删除</cite>方法添加到<cite>系列</cite>，<cite>DataFrame</cite>等。</span><span class="yiyi-st" id="yiyi-3859">其可以从轴丢弃一组标签，产生新对象</span></li>
<li><span class="yiyi-st" id="yiyi-3860"><cite>reindex</cite>方法现在运行<cite>​​复制</cite>选项，因此不强制数据被复制，然后生成的对象被索引相同</span></li>
<li><span class="yiyi-st" id="yiyi-3861">向系列和面板添加了<cite>sort_index</cite>方法。</span><span class="yiyi-st" id="yiyi-3862">将<cite>DataFrame.sort</cite>重命名为<cite>sort_index</cite>。</span><span class="yiyi-st" id="yiyi-3863">立即离开<cite>DataFrame.sort</cite>。</span></li>
<li><span class="yiyi-st" id="yiyi-3864">向所有数据结构的统计实例方法添加了<code class="docutils literal"><span class="pre">skipna</span></code>选项</span></li>
<li><span class="yiyi-st" id="yiyi-3865"><cite>pandas.io.data</cite>模块提供一致的界面，用于从多个不同来源读取时间序列数据</span></li>
</ul>
</div>
<div class="section" id="id99">
<h3><span class="yiyi-st" id="yiyi-3866">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3869">二维<cite>DataFrame</cite>和<cite>DataMatrix</cite>类已在内部广泛重新设计为单个类<cite>DataFrame</cite>，尽可能保留其最佳性能特征。</span><span class="yiyi-st" id="yiyi-3870">这应该减少用户对使用哪个类的混淆。</span><ul>
<li><span class="yiyi-st" id="yiyi-3867">注意，在引擎盖下有一个新的基本上“延迟评估”方案在添加列到DataFrame。</span><span class="yiyi-st" id="yiyi-3868">在某些操作中，类型块将被“合并”，但不是之前。</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3871">由于内部系列缓存机制（它们都是底层数据的所有视图），重复访问列的<cite>DataFrame</cite>现在明显快于<cite>DataMatrix</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3872">混合类型数据的列排序现在在<cite>DataFrame</cite>中完全一致。</span><span class="yiyi-st" id="yiyi-3873">在以前的版本中，<cite>DataMatrix</cite>中的列顺序不一致</span></li>
<li><span class="yiyi-st" id="yiyi-3874">改进了带有负数的DataMatrix的控制台/字符串格式</span></li>
<li><span class="yiyi-st" id="yiyi-3877">改进的表格数据解析函数<cite>read_table</cite>和<cite>read_csv</cite>：</span><ul>
<li><span class="yiyi-st" id="yiyi-3875">为<cite>pandas.io.parsers</cite>函数添加了<cite>skiprows</cite>和<cite>na_values</cite>参数，以实现更灵活的IO</span></li>
<li><span class="yiyi-st" id="yiyi-3876"><cite>pandas.io.parsers</cite>中的<cite>parseCSV</cite> / <cite>read_csv</cite>函数现在可以获取自定义NA值的列表，跳跃</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3878">可以切片<cite>DataFrame</cite>并获取数据视图（均匀类型），例如。 frame.xs（idx，copy = False）或frame.ix [idx]</span></li>
<li><span class="yiyi-st" id="yiyi-3879">在<cite>系列</cite>和<cite>DataFrame</cite>中进行许多速度优化</span></li>
<li><span class="yiyi-st" id="yiyi-3880">调用<code class="docutils literal"><span class="pre">groupby</span></code>函数时对组的热衷评估，因此如果存在分组函数的异常，它将立即引发，而稍后当需要组时</span></li>
<li><span class="yiyi-st" id="yiyi-3881"><cite>datetools.WeekOfMonth</cite>偏移可以用<cite>n</cite>参数化，不同于1或-1。</span></li>
<li><span class="yiyi-st" id="yiyi-3882">像<cite>平均值</cite>，<cite>std</cite>，<cite>var</cite>，<cite>偏移</cite>的DataFrame上的统计方法现在将忽略非数值数据。</span><span class="yiyi-st" id="yiyi-3883">之前生成不是非常有用的错误消息。</span><span class="yiyi-st" id="yiyi-3884">已将<cite>numeric_only</cite>标志添加到<cite>DataFrame.sum</cite>和<cite>DataFrame.count</cite>，以在这些方法中启用此行为（默认情况下禁用）</span></li>
<li><span class="yiyi-st" id="yiyi-3885"><cite>DataFrame.pivot</cite>通用化，可将多个列转换为具有分层列的<cite>DataFrame</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3886"><cite>DataFrame</cite>构造函数可以接受结构化/记录数组</span></li>
<li><span class="yiyi-st" id="yiyi-3887"><cite>面板</cite>构造函数可以接受类DataFrame对象的dict。</span><span class="yiyi-st" id="yiyi-3888">不需要再使用<cite>from_dict</cite>（<cite>from_dict</cite>）。</span></li>
</ul>
</div>
<div class="section" id="id100">
<h3><span class="yiyi-st" id="yiyi-3889">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3890"><cite>DataMatrix</cite>变量​​现在引用<cite>DataFrame</cite>，将在两个版本中删除</span></li>
<li><span class="yiyi-st" id="yiyi-3891"><cite>WidePanel</cite>现在称为<cite>面板</cite>。</span><span class="yiyi-st" id="yiyi-3892">pandas命名空间中的<cite>WidePanel</cite>变量​​现在指的是重命名的<cite>Panel</cite>类</span></li>
<li><span class="yiyi-st" id="yiyi-3893"><cite>LongPanel</cite>和<cite>面板</cite> / <cite>WidePanel</cite>现在不再有一个公共子类。</span><span class="yiyi-st" id="yiyi-3894"><cite>LongPanel</cite>现在是<cite>DataFrame</cite>的子类，它具有多个附加方法和分层索引，而不是已删除的旧<cite>LongPanelIndex</cite>对象。</span><span class="yiyi-st" id="yiyi-3895">旧版<cite>LongPanel</cite>腌菜可能无法正常载入</span></li>
<li><span class="yiyi-st" id="yiyi-3896">现在需要Cython从开发分支构建<cite>pandas</cite>。</span><span class="yiyi-st" id="yiyi-3897">这是为了避免继续检查cythonized C文件到源代码控制。</span><span class="yiyi-st" id="yiyi-3898">从发布的源代码分发构建不需要Cython</span></li>
<li><span class="yiyi-st" id="yiyi-3901">Cython代码已上移到顶层<cite>pandas / src</cite>目录。</span><span class="yiyi-st" id="yiyi-3902">Cython扩展模块已经重命名并从<cite>lib</cite>子包升级到顶层，即</span><ul>
<li><span class="yiyi-st" id="yiyi-3899"><cite>pandas.lib.tseries</cite>  - &gt; <cite>pandas._tseries</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3900"><cite>pandas.lib.sparse</cite>  - &gt; <cite>pandas._sparse</cite></span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3903"><cite>DataFrame</cite> pickling格式已更改。</span><span class="yiyi-st" id="yiyi-3904">提供了传统pickles的向后兼容性，但建议考虑基于PyTables的<cite>HDFStore</cite>用于存储具有更长预期保存期限的数据</span></li>
<li><span class="yiyi-st" id="yiyi-3905">已将<cite>副本</cite>参数添加到<cite>DataFrame</cite>构造函数中，以避免不必要的数据复制。</span><span class="yiyi-st" id="yiyi-3906">传递到构造函数中时，默认情况下不再复制数据</span></li>
<li><span class="yiyi-st" id="yiyi-3907">处理<cite>DataFrame</cite>中的布尔类型已经改进，以支持具有NA / NaN值的布尔数据的存储。</span><span class="yiyi-st" id="yiyi-3908">在它被转换为float64之前，所以这不应该（在理论上）导致API破损</span></li>
<li><span class="yiyi-st" id="yiyi-3909">为了优化性能，Index对象现在只检查它们的标签在唯一性重要时（即当有人去执行查找时）是唯一的。</span><span class="yiyi-st" id="yiyi-3910">这是一个潜在的危险的权衡，但会导致许多地方（如groupby）更好的性能。</span></li>
<li><span class="yiyi-st" id="yiyi-3911">使用Series的布尔索引现在必须具有相同的索引（标签）</span></li>
<li><span class="yiyi-st" id="yiyi-3912">向后兼容性支持在DateRange类中的begin / end / nPeriods关键字参数已被删除</span></li>
<li><span class="yiyi-st" id="yiyi-3913">更多直观/更短的填充别名已添加到<cite>ffill</cite>（用于<cite>pad</cite>）和<cite>bfill</cite>（用于<cite>回填</cite>使用它们的函数：<cite>reindex</cite>，<cite>asfreq</cite>，<cite>fillna</cite>。</span></li>
<li><span class="yiyi-st" id="yiyi-3914"><cite>pandas.core.mixins</cite>代码已移至<cite>pandas.core.generic</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3915"><cite>缓冲</cite>关键字参数（例如<cite>DataFrame.toString</cite>）重命名为<cite>buf</cite>，以避免使用Python内置名称</span></li>
<li><span class="yiyi-st" id="yiyi-3916"><cite>DataFrame.rows()</cite>已移除（使用<cite>DataFrame.index</cite>）</span></li>
<li><span class="yiyi-st" id="yiyi-3917">对<cite>DataFrame.cols()</cite>添加了弃用警告，将在下一个版本中删除</span></li>
<li><span class="yiyi-st" id="yiyi-3918"><cite>DataFrame</cite>弃用和de-camelCasing：<cite>合并</cite>，<cite>asMatrix</cite>，<cite>toDataMatrix</cite>，<cite>_firstTimeWithValue</cite> <cite>_lastTimeWithValue</cite>，<cite>toRecords</cite>，<cite>fromRecords</cite>，<cite>tgroupby</cite>，<cite>toString</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3922"><cite>pandas.io.parsers</cite>方法弃用</span><ul>
<li><span class="yiyi-st" id="yiyi-3919"><cite>parseCSV</cite>现在是<cite>read_csv</cite>，关键字参数已被de-camelCased</span></li>
<li><span class="yiyi-st" id="yiyi-3920"><cite>parseText</cite>现在为<cite>read_table</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3921"><cite>parseExcel</cite>替换为<cite>ExcelFile</cite>类及其<cite>解析</cite>方法</span></li>
</ul>
</li>
<li><span class="yiyi-st" id="yiyi-3923"><cite>fillMethod</cite>参数（在先前版本中已弃用）已删除，应替换为<cite>方法</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3924"><cite>Series.fill</cite>，<cite>DataFrame.fill</cite>和<cite>Panel.fill</cite>已移除，请改用<cite>fillna</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3925"><cite>groupby</cite>函数现在排除组列表中的NA / NaN值。</span><span class="yiyi-st" id="yiyi-3926">这与R的行为与NA在因素与<cite>tapply</cite>函数</span></li>
<li><span class="yiyi-st" id="yiyi-3927">从pandas命名空间中移除了<cite>parseText</cite>，<cite>parseCSV</cite>和<cite>parseExcel</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3928"><cite>Series.combineFunc</cite>重命名为<cite>Series.combine</cite>，并且使用<cite>fill_value</cite>关键字参数</span></li>
<li><span class="yiyi-st" id="yiyi-3929">已删除<cite>pandas.core.pytools</cite>模块。</span><span class="yiyi-st" id="yiyi-3930">代码已移至<cite>pandas.core.common</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3931">Tacked on <cite>groupName</cite> attribute for groups in GroupBy renamed to <cite>name</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3932">面板/ LongPanel <cite>dims</cite>属性重命名为<cite>形状</cite>以更符合</span></li>
<li><span class="yiyi-st" id="yiyi-3933">切换<cite>系列</cite>现在返回视图</span></li>
<li><span class="yiyi-st" id="yiyi-3934">更多系列淘汰/重命名：<cite>toCSV</cite>到<cite>to_csv</cite>，<cite>asOf</cite>到<cite>asof</cite>，<cite>merge</cite>到<cite>映射</cite>，<cite>applymap</cite>到<cite>应用</cite>，<cite>toDict</cite>到<cite>to_dict</cite>，<cite></cite>到<cite>combine_first</cite>。</span><span class="yiyi-st" id="yiyi-3935">将打印<cite>FutureWarning</cite>。</span></li>
<li><span class="yiyi-st" id="yiyi-3936"><cite>DataFrame.to_csv</cite>不会默认写入“索引”列标签，因为输出文件可以在没有它的情况下读回。</span><span class="yiyi-st" id="yiyi-3937">但是，有一个新的<code class="docutils literal"><span class="pre">index_label</span></code>参数。</span><span class="yiyi-st" id="yiyi-3938">因此，您可以通过<code class="docutils literal"><span class="pre">index_label=&apos;index&apos;</span></code>来模拟旧的行为</span></li>
<li><span class="yiyi-st" id="yiyi-3939"><cite>datetools.Week</cite>参数已从<cite>dayOfWeek</cite>重命名为<cite>工作日</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3940"><cite>shift</cite>中的<cite>timeRule</cite>参数已被弃用，有利于对所有内容使用<cite>offset</cite>参数。</span><span class="yiyi-st" id="yiyi-3941">因此，您仍然可以将时间规则字符串传递到<cite>offset</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3942">向<cite>read_csv</cite>，<cite>read_table</cite>，<cite>to_csv</cite>，<cite>from_csv</cite>添加可选的<cite>编码</cite>参数以处理unicode在python 2.x</span></li>
</ul>
</div>
<div class="section" id="id101">
<h3><span class="yiyi-st" id="yiyi-3943">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3944">在存在混合类型数据的情况下，<cite>pandas.io.parsers.parseCSV</cite>中的列排序将与CSV匹配</span></li>
<li><span class="yiyi-st" id="yiyi-3945">固定处理<cite>pandas.io.parsers</cite>中的Excel 2003日期</span></li>
<li><span class="yiyi-st" id="yiyi-3946"><cite>DateRange</cite>缓存正在发生高分辨率<cite>DateOffset</cite>对象，例如<cite>DateOffset（seconds = 1）</cite>。</span><span class="yiyi-st" id="yiyi-3947">这已经修复</span></li>
<li><span class="yiyi-st" id="yiyi-3948">修复<cite>DataFrame</cite>中的__truediv__问题</span></li>
<li><span class="yiyi-st" id="yiyi-3949">修复了在某些情况下阻止IO往返的<cite>DataFrame.toCSV</cite>错误</span></li>
<li><span class="yiyi-st" id="yiyi-3950">修复<cite>Series.plot</cite>中的错误，在特殊情况下导致matplotlib为barf</span></li>
<li><span class="yiyi-st" id="yiyi-3951">禁用<cite>索引</cite>对象与散列值，如ndarrays</span></li>
<li><span class="yiyi-st" id="yiyi-3952">将<cite>__ ne __</cite>实现添加到<cite>索引</cite>，以便像ts [ts！= idx]这样的操作可以工作</span></li>
<li><span class="yiyi-st" id="yiyi-3953">向<cite>DataFrame</cite>添加了<cite>__ ne __</cite>实现</span></li>
<li><span class="yiyi-st" id="yiyi-3954">在无序标签上调用<cite>fillna</cite>时出现错误/非直观结果</span></li>
<li><span class="yiyi-st" id="yiyi-3955">在布尔数据框架上调用<cite>sum</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3956">从使用标量值的dict创建DataFrame时修复错误</span></li>
<li><span class="yiyi-st" id="yiyi-3957">系列。</span><span class="yiyi-st" id="yiyi-3958">{sum，mean，std，...}现在返回NA / NaN，当整个系列为NA</span></li>
<li><span class="yiyi-st" id="yiyi-3959">NumPy 1.4到1.6的兼容性修补程序</span></li>
<li><span class="yiyi-st" id="yiyi-3960">修正<cite>rolling_cov</cite>中的偏差校正错误，也影响了<cite>rolling_corr</cite></span></li>
<li><span class="yiyi-st" id="yiyi-3961">在<cite>PanelOLS</cite>类中存在固定和时间效应时，R平方值不正确</span></li>
<li><span class="yiyi-st" id="yiyi-3962"><cite>HDFStore</cite>可以处理表格格式的重复，将采取</span></li>
</ul>
</div>
<div class="section" id="id102">
<h3><span class="yiyi-st" id="yiyi-3963">Thanks</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3964">Joon Ro</span></li>
<li><span class="yiyi-st" id="yiyi-3965">迈克尔&#xB7;潘宁顿</span></li>
<li><span class="yiyi-st" id="yiyi-3966">克里斯&#xB7;乌加</span></li>
<li><span class="yiyi-st" id="yiyi-3967">克里斯&#xB7;威瑟斯</span></li>
<li><span class="yiyi-st" id="yiyi-3968">Jeff Reback</span></li>
<li><span class="yiyi-st" id="yiyi-3969">泰德广场</span></li>
<li><span class="yiyi-st" id="yiyi-3970">Craig奥斯汀</span></li>
<li><span class="yiyi-st" id="yiyi-3971">威廉&#xB7;费雷拉</span></li>
<li><span class="yiyi-st" id="yiyi-3972">丹尼尔Fortunov</span></li>
<li><span class="yiyi-st" id="yiyi-3973">托尼&#xB7;罗伯茨</span></li>
<li><span class="yiyi-st" id="yiyi-3974">马丁&#xB7;费尔德</span></li>
<li><span class="yiyi-st" id="yiyi-3975">约翰&#xB7;马里诺</span></li>
<li><span class="yiyi-st" id="yiyi-3976">麦克纳马拉</span></li>
<li><span class="yiyi-st" id="yiyi-3977">贾斯汀&#xB7;贝尔卡</span></li>
<li><span class="yiyi-st" id="yiyi-3978">Dieter Vandenbussche</span></li>
<li><span class="yiyi-st" id="yiyi-3979">Shane Conway</span></li>
<li><span class="yiyi-st" id="yiyi-3980">船长海鸟</span></li>
<li><span class="yiyi-st" id="yiyi-3981">Chris Jordan-Squire</span></li>
</ul>
</div>
</div>
<div class="section" id="pandas-0-3-0">
<h2><span class="yiyi-st" id="yiyi-3982">pandas 0.3.0</span></h2>
<p><span class="yiyi-st" id="yiyi-3983"><strong>发布日期：</strong> 2011年2月20日</span></p>
<div class="section" id="id103">
<h3><span class="yiyi-st" id="yiyi-3984">New features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3985"><cite>corrwith</cite>函数来计算两个DataFrame对象之间的列或行方向的相关性</span></li>
<li><span class="yiyi-st" id="yiyi-3986">可以布尔索引DataFrame对象，例如df [df&gt; 2] = 2，px [last_px] = 0</span></li>
<li><span class="yiyi-st" id="yiyi-3987">添加比较魔术方法（__lt__，__gt__等）</span></li>
<li><span class="yiyi-st" id="yiyi-3988">灵活的显式算术方法（add，mul，sub，div等）</span></li>
<li><span class="yiyi-st" id="yiyi-3989">添加了<cite>reindex_like</cite>方法</span></li>
<li><span class="yiyi-st" id="yiyi-3990">向WidePanel添加了<cite>reindex_like</cite>方法</span></li>
<li><span class="yiyi-st" id="yiyi-3991">用于访问<cite>pandas.io.sql</cite>模块中的类SQL数据库的便利功能</span></li>
<li><span class="yiyi-st" id="yiyi-3992">在<cite>pandas.io.pytables</cite>模块中添加（仍然是实验性的）HDFStore类，用于存储使用HDF5 / PyTables的pandas数据结构</span></li>
<li><span class="yiyi-st" id="yiyi-3993">添加WeekOfMonth日期偏移</span></li>
<li><span class="yiyi-st" id="yiyi-3994"><cite>pandas.rpy</cite>（实验）模块，提供rpy2和pandas之间的一些接口/转换</span></li>
</ul>
</div>
<div class="section" id="id104">
<h3><span class="yiyi-st" id="yiyi-3995">Improvements to existing features</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-3996">单元测试覆盖：核心数据结构的100％线覆盖</span></li>
<li><span class="yiyi-st" id="yiyi-3997">速度增强to rolling_ {median，max，min}</span></li>
<li><span class="yiyi-st" id="yiyi-3998">DataFrame和DataMatrix之间的列排序现在是一致的：在DataFrame不尊重列顺序之前</span></li>
<li><span class="yiyi-st" id="yiyi-3999">改进{Series，DataFrame} .plot方法更灵活（可以传递matplotlib Axis参数，在多个子图中绘制DataFrame列等）</span></li>
</ul>
</div>
<div class="section" id="id105">
<h3><span class="yiyi-st" id="yiyi-4000">API Changes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-4001"><cite>pandas.stats.moments</cite>中的指数加权矩函数有一个更一致的API，并接受一个min_periods参数，就像它们的常规移动对等体一样。</span></li>
<li><span class="yiyi-st" id="yiyi-4002"><strong>fillMethod</strong>参数，DataFrame更改为<strong>方法</strong>，<cite>添加了FutureWarning</cite>。</span></li>
<li><span class="yiyi-st" id="yiyi-4003"><strong>填充</strong>方法，DataFrame / DataMatrix，WidePanel重命名为<strong>fillna</strong>，<cite>FutureWarning</cite>添加到<strong>填充</strong></span></li>
<li><span class="yiyi-st" id="yiyi-4004">将<strong>DataFrame.getXS</strong>重命名为<strong>xs</strong>，<cite>未来警告</cite>已添加</span></li>
<li><span class="yiyi-st" id="yiyi-4005">从DataFrame中删除了<strong>上限</strong>和<strong>下限</strong>功能，重命名为<strong>clip_upper</strong>和<strong>clip_lower</strong></span></li>
</ul>
</div>
<div class="section" id="id106">
<h3><span class="yiyi-st" id="yiyi-4006">Bug Fixes</span></h3>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-4007">修正IndexableSkiplist Cython代码中打破rolling_max函数的错误</span></li>
<li><span class="yiyi-st" id="yiyi-4008">许多与numpy.int64相关的索引修复</span></li>
<li><span class="yiyi-st" id="yiyi-4009">几个NumPy 1.4.0 NaN处理修复</span></li>
<li><span class="yiyi-st" id="yiyi-4010">修正了pandas.io.parsers.parseCSV的错误</span></li>
<li><span class="yiyi-st" id="yiyi-4011">修复了使用异常日期偏移的<cite>DateRange</cite>高速缓存问题</span></li>
<li><span class="yiyi-st" id="yiyi-4012">修正<cite>DateRange.union</cite>中的错误</span></li>
<li><span class="yiyi-st" id="yiyi-4013">在<cite>IndexableSkiplist</cite>实现中修复了大小写</span></li>
</ul>
</div>
</div>
